Cardiac resynchronization therapy optimization using vector measurements obtained from realtime electrode position tracking

ABSTRACT

An exemplary method includes selecting multiple electrodes located in a patient; acquiring position information during one or more cardiac cycles for the multiple electrodes where the acquiring includes using each of the electrodes for measuring one or more electrical potentials in an electrical localization field established in the patient; calculating one or more vector metrics based on the acquired position information for one or more vectors, each vector defined by two of the multiple electrodes; and analyzing the one or more vector metrics to assess cardiac performance during the one or more cardiac cycles. Various other methods, devices, systems, etc., are also disclosed.

RELATED APPLICATIONS

This patent application claims the benefit of U.S. Provisional PatentApplication Ser. No. 61/121,737, entitled “Cardiac ResynchronizationTherapy Optimization Using Vector Measurements Obtained from RealtimeElectrode Position Tracking,” filed on Dec. 11, 2008, which isincorporated by reference herein.

TECHNICAL FIELD

Subject matter presented herein relates generally to electrode andlead-based investigation or therapy systems (e.g., cardiac pacingtherapies, cardiac stimulation therapies, etc.). Various examplesacquire position data using a localization system and, based on theacquired data, calculate metrics for assessing cardiac condition and foroptimizing cardiac therapy.

BACKGROUND

Cardiac resynchronization therapy (CRT) aims to improve cardiacperformance by synchronizing the ventricles. While the term“synchronization” is used, for some patients, a delay betweencontraction of the right ventricle and the left ventricle may beoptimal. Hence, the term synchronization refers more generally toventricular timing that improves cardiac performance. A generalobjective measure of lack of synchrony or dyssynchrony is QRS widthrepresentative of contraction of both ventricles. For example, a QRSwidth greater than about 130 ms may indicate dyssynchrony.

CRT can improve a variety of cardiac performance measures including leftventricular mechanical function, cardiac index, decreased pulmonaryartery pressures, decrease in myocardial oxygen consumption, decrease indynamic mitral regurgitation, increase in global ejection fraction,decrease in NYHA class, increased quality of life scores, increaseddistance covered during a 6-minute walk test, etc. Effects such asreverse modeling may also be seen, for example, three to six monthsafter initiating CRT. Patients that show such improvements areclassified as CRT “responders”. However, for a variety of reasons, notall patients respond to CRT. For example, if a left ventricularstimulation lead cannot locate an electrode in a favorable position,then a patient may not respond to CRT.

Often, the ability to respond and the extent of response to CRT dependson an initial set-up of a CRT device in a patient. As described herein,various exemplary technologies aim to improve a clinician's ability toset-up a CRT at implant and to optionally optimize thereafter. Inparticular, various exemplary techniques include vector metrics based,at least in part, on information acquired from a localization system.

SUMMARY

An exemplary method includes selecting multiple electrodes located in apatient; acquiring position information during one or more cardiaccycles for the multiple electrodes where the acquiring includes usingeach of the electrodes for measuring one or more electrical potentialsin an electrical localization field established in the patient;calculating one or more vector metrics based on the acquired positioninformation for one or more vectors, each vector defined by two of themultiple electrodes; and analyzing the one or more vector metrics toassess cardiac performance during the one or more cardiac cycles.Various other methods, devices, systems, etc., are also disclosed.

BRIEF DESCRIPTION OF THE DRAWINGS

Features and advantages of the described implementations can be morereadily understood by reference to the following description taken inconjunction with the accompanying drawings.

FIG. 1 is a simplified diagram illustrating an exemplary implantablestimulation device in electrical communication with at least three leadsimplanted into a patient's heart and at least one other lead for sensingand/or delivering stimulation and/or shock therapy. Other devices withmore or fewer leads may also be suitable.

FIG. 2 is a functional block diagram of an exemplary implantablestimulation device illustrating basic elements that are configured toprovide cardioversion, defibrillation, pacing stimulation and/or othertissue stimulation. The implantable stimulation device is furtherconfigured to sense information and administer therapy responsive tosuch information.

FIG. 3 is a block diagram of an exemplary method for selecting one ormore configurations, optimizing therapy and/or monitoring conditionsbased at least in part on one or more vector metrics.

FIG. 4 is a block diagram of the exemplary method of FIG. 3 along withvarious options.

FIG. 5 is an exemplary arrangement of a lead and electrodes foracquiring position information and optionally other information for usein determining one or more vector metrics.

FIG. 6 is diagram of an exemplary scheme that tracks a vector thatextends from a RV site to a LV site, referred to as a RV-to-LV vector.

FIG. 7 is a diagram of a RA-RV-LV vector triangle and associated plotsof a RV-to-LV vector with respect to a cardiac cycle.

FIG. 8 is a diagram of various examples of RV-to-LV vectors.

FIG. 9 is a series of plots for vector angle and vector magnitudemetrics over a series of paced cardiac cycles and a block diagram ofexemplary modules for calculating various vector metrics.

FIG. 10 is a series of plots for RV-to-LV vector magnitude for RV pacingand for biventricular pacing along with associated ECGs.

FIG. 11 is a plot of systolic and diastolic RV-to-LV vector magnitudeand cardiac chamber pressure for various pacing schemes (RA pacing, RVpacing, LV pacing and BiV pacing), which demonstrates how RV-to-LVvector magnitude, as a metric, can be a surrogate to cardiac chamberpressure.

FIG. 12 is a series of plots for ventricular dyssynchrony and temporaldispersion of systolic peaks of individual electrodes for various pacingschemes (RA pacing, RV pacing, LV pacing and BiV pacing).

FIG. 13 is a series of plots of RV-to-LV vector length versus time fortwo patients for various pacing schemes (i.e., various delays, RV firstand LV first).

FIG. 14 is a series of plots for RA-to-RV vector magnitude and RA-to-LVvector magnitude versus time for RV pacing, LV pacing and biventricularpacing schemes along with associated ECGs.

FIG. 15 is a diagram of various vectors and a series of plots of vectormagnitude and vector angle with respect to time.

FIG. 16 is a block diagram of an exemplary method for selecting anoptimal configuration based at least in part on vector metrics.

FIG. 17 is a block diagram of an exemplary method for determining oroptimizing a VV delay based on an analysis of vectors.

FIG. 18 is a block diagram of an exemplary method and various exemplaryindexes and techniques that may be implemented by the method.

FIG. 19 is a diagram of echocardiographic data for right ventricularpacing and biventricular pacing scenarios of a validation technique tovalidated indexes and techniques.

FIG. 20 is an exemplary system for acquiring information and analyzinginformation to assess stability of an electrode, a lead or implanteddevice.

DETAILED DESCRIPTION

The following description includes the best mode presently contemplatedfor practicing the described implementations. This description is not tobe taken in a limiting sense, but rather is made merely for the purposeof describing the general principles of the implementations. The scopeof the described implementations should be ascertained with reference tothe issued claims. In the description that follows, like numerals orreference designators are typically used to reference like parts orelements throughout.

Overview

Various exemplary techniques described herein pertain to analysis ofelectrode positions in the body. For example, during an intraoperativeprocedure, a clinician may maneuver an electrode-bearing catheter tovarious locations in one or more chambers or vessels of the heart andacquire position information sufficient to calculate one or moremetrics. As described below, such metrics include vector-based metricsand other metrics based in part on electrode position (e.g., positiondispersion metrics). In various examples, acquisition of positioninformation may occur for an acute state, a chronic state or an acutestate and a chronic state, for example, sufficient to calculated one ormore state metrics. As described herein, various metrics are referred toas indexes. For example, a dyssynchrony index can be calculated based onmagnitude or angle waveforms for a right ventricular vector and a leftventricular vector. Such a dyssynchrony index may be an interventriculardyssynchrony index. Other types of vector-based indexes include, forexample, an intraventricular dyssynchrony index, an interatrialdyssynchrony index, an intraatrial dyssynchrony index and aninteratrioventricular dyssynchrony index. As described herein, variousexemplary vector analysis techniques include statistical techniques suchas correlation or cross-covariance. Accordingly, therapy configuration,parameters or configuration and parameters may be determined andoptimized using one or more exemplary vector-based methods.

Various exemplary methods may be implemented, for example, using apacing system analyzer (PSA) and a localization system or a specializedlocalization system. Various examples are described with respect to theENSITE® NAVX® localization system (St Jude Medical, Inc., Minnesota);noting that other types of localization systems may be used.

Various techniques aim to facilitate lead implants, particularly forleads that enter the coronary sinus to reach distal branches thereof.For example, a clinician can view plots or maps of one or more metricsand readily decide to locate a lead in a region with acceptable oroptimal metrics for delivery of a cardiac therapy. A typicalintraoperative, acute state process occurs iteratively (i.e., select ormove, acquire, calculate; select or move, acquire, calculate; . . . ).In this iterative process, a clinician may note whether a location hasacceptable metrics or unacceptable metrics.

As described herein, various techniques can calculate vector metrics andgenerate information for display (e.g., data tables, plots, maps, etc.)to aid a clinician. Various techniques may operate in conjunction withone or more PSA functionalities, for example, to create and display mapsthat show variations in metrics with respect to anatomic features.Various exemplary methods include analyzing one or more vector metricsto optimize pacing mode for maximum cardiac contractility. For example,as described in more detail below, various animal and human trialsdemonstrated correlation between vector metrics and cardiac pressuremeasurements indicative of contractility. Specifically, the ENSITE®NAVX® system was used to determine real-time positions of indwellingelectrodes in the heart. The acquired position information for RV and LVelectrodes and a defined RV-to-LV vector was then analyzed. The analysisdemonstrated that an RV electrode could be used as a base of a vectorand that an LV electrode could be used as a tip of a vector where theresulting RV-to-LV vector rotated and varied in magnitude with respectto time during a cardiac cycle. Vector rotational angle and vectormagnitude were compared to chamber pressure, which, when plotted,demonstrated how these vector metrics can serve as indicators of cardiacmechanics. Such an exemplary method provides, in real-time, anhemodynamic index to pick a best pacing location and deviceconfiguration during implantation without necessarily requiring aninterpretation of complex 3-D patterns of wall movement.

As described in more detail below, the trials demonstrated that as theheart contracts, a defined RV-to-LV vector rotates in acounter-clockwise direction during a systolic phase of a cardiac cycleand in a clockwise direction during a diastolic phase of a cardiaccycle. The trials demonstrated that, at the end of systole, RV-to-LVvector length is at its minimum and its angle from the start of pacingis at or near its maximum.

Trials demonstrated that vector “waveforms” for magnitude and angle wererepeatable for paced beats. Based on the trials, it was observed thatwhen vector angle reached its maximum, vector magnitude was at or nearits minimum, representing the farthest extent of contraction androtation of the heart. In practice, if such a correlation is notachieved (e.g., due to an inherent delay), as described herein, it isstill possible to use only magnitude waveform and ECG to determineRV-to-LV vector amplitude. By extension, if the time of peak angularrotation does not align with the time of peak-minimum distance, thisindicates some dissociation of myocardial shortening from twist,indicative of pathologic dyssynchrony. The vector analysis from animaland human data showed that above observation was consistent. An analysisof trial data also demonstrated a strong correlation between vectormagnitude and (i) chamber pressure gradient (dP/dt), (ii) ventriculardyssynchrony (e.g., RV-LV) and (iii) temporal dispersion time. Hence,the vector magnitude metric can be used as an indicator of cardiacperformance.

Various exemplary methods can include measuring anelectrode-to-electrode vector distance (e.g., RV-to-LV vector or otherconfiguration such as RA-to-RV vector, RA-to-LV vector) over multiplecardiac cycles and analyzing the vector distance to determine an optimalpacing configuration, for example, by identifying a best location forfixation of an electrode-bearing pacing lead. For two vectors (e.g., areference vector “A” and a test vector “B”), the dot product(A·B=|A∥B|cos θ) can also give the rotational angle and angular velocityor acceleration, which may be used to assess degree of angularcontraction. In such an example, a reference vector may be defined basedon measurement of positions at delivery time of a pacing stimulus (e.g.,V-pulse) or at time of detection of an R-wave for a spontaneous orintrinsic activation of the heart.

In the trials described herein, the ENSITE® NAVX® system is programmedto calculate vector metrics (e.g., magnitude and angle) in real-time.For example, during an intraoperative procedure (i.e., acute procedure),a clinician may choose to:

(i) investigate different lead locations for pacing schemes such as BiV,LV-only, RV-only (e.g., various electrode combinations of tip/ringelectrodes or LV1/LV2/LV3 electrodes of a quad-polar LV lead);

(ii) investigate configurations for different LV coronary circumflexbranches;

(iii) investigate configurations for different LV distal distance;

(iv) investigate different epicardial positions for an LV lead (e.g., bysubxiphoid access to the intrapericardial space);

(v) investigate different interatrial, intraatrial, atrioventricular,interventricular, and intraventricular delays.

During a chosen maneuver or after a chosen maneuver is completed, acomputing device such as a programmed localization system can output oneor more recommendations based, for example, on maximum contraction andmaximum angular displacement. As described herein, an exemplary methodmay determine angular acceleration and contractile velocity, which aretime derivatives of aforementioned vector magnitude waveforms and vectorangle waveforms.

An exemplary method can include calculating (i) contractility index by achange in vector amplitude (e.g., Δ in vector amplitude such asdifference between a minimum and maximum over a cardiac cycle); (ii)maximum positive slope from a vector magnitude waveform; (iii) angularor rotational changes of vectors; and/or (iv) changes in angle betweentwo vectors (e.g., for AV or VD VV optimization using vectors such as aRV-to-RA vector, a LV-to-RA vector, etc.).

An exemplary method can optionally analyze position information formultiple RV-to-LV vectors. For example, with a quadpolar or othermulti-polar LV lead, and/or with a multipolar lead or mapping catheterin the RV, a series of RV-to-LV vectors (or LV-to-RV vectors) can becomputed (e.g., at each “level” of electrode). Where information existsfor multiple vectors, metrics such as differential twist with respect tolong-axis position (analog of torsion in the engineering sense) can becomputed. In such a method, a longitudinal dispersion oftime-to-peak-twist can be minimized to produce maximum torsionalsynchrony. Alternatively, an optimization process may consider an amountof segmental twist or torsion to be made more uniform, for example, toresult in a reduction of adverse remodeling.

As described herein, various leads and electrodes can be used togenerate vectors whose magnitude and angle can be analyzed. For example,a vector from RA-to-RV electrodes, or RA-to-LV electrodes, orCS_(proximal)-to-LV_(distal) electrodes can be used as a surrogate forlong axis shortening (magnitude) and apex-to-base rotation (angle).

As described herein, various exemplary techniques can be used to makedecisions as to cardiac pacing therapy and optimization of a cardiacpacing therapy (e.g., CRT or other pacing therapies). In a clinicaltrial, acute resynchronization was shown to be a significant factor inassessing CRT efficacy and long-term outcome¹. Various methods describedherein, build on this clinical finding by formulating specializedtechniques and metrics associated with locations for pacing, sensing orpacing and sensing. In turn, a clinician can assess how a particular CRTtherapy or configuration thereof may be expected to perform at time ofimplant or, in some instances, after implant. G B Bleeker, S A Mollema,E R Holman, N Van De Veire, C Ypenburg, E Boersma, E E van der Wall, M JSchalij, J J Bax. “Left Ventricular Resynchronization is Mandatory forResponse to Cardiac Resynchronization Therapy: Analysis in Patients withEchocardiographic Evidence of Left Ventricular Dyssynchrony atBaseline”. Circulation 2007; 116: 1440-1448.

An exemplary stimulation device is described followed by varioustechniques for acquiring and calculating metrics. The drawings anddetailed description elucidate details of various distinct stabilitymetrics that may be used singly or in combination during an assessmentor an optimization process (e.g., acute or chronic).

Exemplary Stimulation Device

The techniques described below are intended to be implemented inconnection with any stimulation device that is configured orconfigurable to delivery cardiac therapy and/or sense informationgermane to cardiac therapy.

FIG. 1 shows an exemplary stimulation device 100 in electricalcommunication with a patient's heart 102 by way of three leads (a rightatrial lead 104, a left ventricular lead 106 and a right ventricularlead 108), suitable for delivering multi-chamber stimulation and shocktherapy. The leads 104, 106, 108 are optionally configurable fordelivery of stimulation pulses suitable for stimulation of nerves orother tissue. In addition, in the example of FIG. 1, the device 100includes a fourth lead 110 having multiple electrodes 144, 144′, 144″suitable for stimulation of tissue and/or sensing of physiologicsignals. This lead may be positioned in and/or near a patient's heartand/or remote from the heart.

FIG. 1 also shows approximate locations of the right and left phrenicnerves 154, 158. The phrenic nerve is made up mostly of motor nervefibers for producing contractions of the diaphragm. In addition, itprovides sensory innervation for various components of the mediastinumand pleura, as well as the upper abdomen (e.g., liver and gall bladder).The right phrenic nerve 154 passes over the brachiocephalic artery,posterior to the subclavian vein, and then crosses the root of the rightlung anteriorly and then leaves the thorax by passing through the venacava hiatus opening in the diaphragm at the level of T8. Morespecifically, with respect to the heart, the right phrenic nerve 154passes over the right atrium while the left phrenic nerve 158 passesover the pericardium of the left ventricle and pierces the diaphragmseparately. While certain therapies may call for phrenic nervestimulation (e.g., for treatment of sleep apnea), in general, cardiacpacing therapies avoid phrenic nerve stimulation through judicious leadand electrode placement, selection of electrode configurations,adjustment of pacing parameters, etc.

Referring again to the various leads of the device 100, the right atriallead 104, as the name implies, is positioned in and/or passes through apatient's right atrium. The right atrial lead 104 is configured to senseatrial cardiac signals and/or to provide right atrial chamberstimulation therapy. As described further below, the right atrial lead104 may be used by the device 100 to acquire far-field ventricularsignal data. As shown in FIG. 1, the right atrial lead 104 includes anatrial tip electrode 120, which typically is implanted in the patient'sright atrial appendage, and an atrial ring electrode 121. The rightatrial lead 104 may have electrodes other than the tip 120 and ring 121electrodes. Further, the right atrial lead 104 may include electrodessuitable for stimulation and/or sensing located on a branch.

To sense atrial cardiac signals, ventricular cardiac signals and/or toprovide chamber pacing therapy, particularly on the left side of apatient's heart, the stimulation device 100 is coupled to the leftventricular lead 106, which in FIG. 1 is also referred to as a coronarysinus lead as it is designed for placement in the coronary sinus and/ortributary veins of the coronary sinus. As shown in FIG. 1, the coronarysinus lead 106 is configured to position at least one distal electrodeadjacent to the left ventricle and/or additional electrode(s) adjacentto the left atrium. In a normal heart, tributary veins of the coronarysinus include, but may not be limited to, the great cardiac vein, theleft marginal vein, the left posterior ventricular vein, the middlecardiac vein, and the small cardiac vein.

In the example of FIG. 1, the coronary sinus lead 106 includes a seriesof electrodes 123. In particular, a series of four electrodes are shownpositioned in an anterior vein of the heart 102. Other coronary sinusleads may include a different number of electrodes than the lead 106. Asdescribed herein, an exemplary method selects one or more electrodes(e.g., from electrodes 123 of the lead 106) and determinescharacteristics associated with conduction and/or timing in the heart toaid in ventricular pacing therapy and/or assessment of cardiaccondition. As described in more detail below, an illustrative methodacquires information using various electrode configurations where anelectrode configuration typically includes at least one electrode of acoronary sinus lead or other type of left ventricular lead. Suchinformation may be used to determine a suitable electrode configurationfor the lead 106 (e.g., selection of one or more electrodes 123 of thelead 106).

In the example of FIG. 1, as connected to the device 100, the coronarysinus lead 106 is configured for acquisition of ventricular cardiacsignals (and optionally atrial signals) and to deliver left ventricularpacing therapy using, for example, at least one of the electrodes 123and/or the tip electrode 122. The lead 106 optionally allows for leftatrial pacing therapy, for example, using at least the left atrial ringelectrode 124. The lead 106 optionally allows for shocking therapy, forexample, using at least the left atrial coil electrode 126. For acomplete description of a particular coronary sinus lead, the reader isdirected to U.S. Pat. No. 5,466,254, “Coronary Sinus Lead with AtrialSensing Capability” (Helland), which is incorporated herein byreference.

The stimulation device 100 is also shown in electrical communicationwith the patient's heart 102 by way of an implantable right ventricularlead 108 having, in this exemplary implementation, a right ventriculartip electrode 128, a right ventricular ring electrode 130, a rightventricular (RV) coil electrode 132, and an SVC coil electrode 134.Typically, the right ventricular lead 108 is transvenously inserted intothe heart 102 to place the right ventricular tip electrode 128 in theright ventricular apex so that the RV coil electrode 132 will bepositioned in the right ventricle and the SVC coil electrode 134 will bepositioned in the superior vena cava. Accordingly, the right ventricularlead 108, as connected to the device 100, is capable of sensing orreceiving cardiac signals, and delivering stimulation in the form ofpacing and shock therapy to the right ventricle. An exemplary rightventricular lead may also include at least one electrode capable ofstimulating other tissue; such an electrode may be positioned on thelead or a bifurcation or leg of the lead. A right ventricular lead mayinclude a series of electrodes, such as the series 123 of the leftventricular lead 106.

FIG. 1 also shows a lead 160 as including several electrode arrays 163.In the example of FIG. 1, each electrode array 163 of the lead 160includes a series of electrodes 162 with an associated circuit 168.Conductors 164 provide an electrical supply and return for the circuit168. The circuit 168 includes control logic sufficient to electricallyconnect the conductors 164 to one or more of the electrodes of theseries 162. In the example of FIG. 1, the lead 160 includes a lumen 166suitable for receipt of a guidewire to facilitate placement of the lead160. As described herein, any of the leads 104, 106, 108 or 110 mayinclude one or more electrode array, optionally configured as theelectrode array 163 of the lead 160.

FIG. 2 shows an exemplary, simplified block diagram depicting variouscomponents of the device 100. The device 100 can be capable of treatingboth fast and slow arrhythmias with stimulation therapy, includingcardioversion, defibrillation, and pacing stimulation. While aparticular multi-chamber device is shown, it is to be appreciated andunderstood that this is for illustration purposes only. Thus, thetechniques, methods, etc., described below can be implemented inconnection with any suitably configured or configurable device.Accordingly, one of skill in the art could readily duplicate, eliminate,or disable the appropriate circuitry in any desired combination toprovide a device capable of treating the appropriate chamber(s) orregions of a patient's heart.

Housing 200 for the device 100 is often referred to as the “can”, “case”or “case electrode”, and may be programmably selected to act as thereturn electrode for all “unipolar” modes. As described below, variousexemplary techniques implement unipolar sensing for data that mayinclude indicia of functional conduction block in myocardial tissue.Housing 200 may further be used as a return electrode alone or incombination with one or more of the coil electrodes 126, 132 and 134 forshocking or other purposes. Housing 200 further includes a connector(not shown) having a plurality of terminals 201, 202, 204, 206, 208,212, 214, 216, 218, 221, 223 (shown schematically and, for convenience,the names of the electrodes to which they are connected are shown nextto the terminals).

To achieve right atrial sensing, pacing and/or other tissue sensing,stimulation, etc., the connector includes at least a right atrial tipterminal (A_(R) TIP) 202 adapted for connection to the right atrial tipelectrode 120. A right atrial ring terminal (A_(R) RING) 201 is alsoshown, which is adapted for connection to the right atrial ringelectrode 121. To achieve left chamber sensing, pacing, shocking, and/orother tissue sensing, stimulation, etc., the connector includes at leasta left ventricular tip terminal (V_(L) TIP) 204, a left atrial ringterminal (A_(L) RING) 206, and a left atrial shocking terminal (A_(L)COIL) 208, which are adapted for connection to the left ventricular tipelectrode 122, the left atrial ring electrode 124, and the left atrialcoil electrode 126, respectively. Connection to suitable stimulationelectrodes is also possible via these and/or other terminals (e.g., viaa stimulation terminal S ELEC 221). The terminal S ELEC 221 mayoptionally be used for sensing. For example, electrodes of the lead 110may connect to the device 100 at the terminal 221 or optionally at oneor more other terminals.

A terminal 223 allows for connection of a series of left ventricularelectrodes. For example, the series of four electrodes 123 of the lead106 may connect to the device 100 via the terminal 223. The terminal 223and an electrode configuration switch 226 allow for selection of one ormore of the series of electrodes and hence electrode configuration. Inthe example of FIG. 2, the terminal 223 includes four branches to theswitch 226 where each branch corresponds to one of the four electrodes123.

To support right chamber sensing, pacing, shocking, and/or other tissuesensing, stimulation, etc., the connector further includes a rightventricular tip terminal (V_(R) TIP) 212, a right ventricular ringterminal (V_(R) RING) 214, a right ventricular shocking terminal (RVCOIL) 216, and a superior vena cava shocking terminal (SVC COIL) 218,which are adapted for connection to the right ventricular tip electrode128, right ventricular ring electrode 130, the RV coil electrode 132,and the SVC coil electrode 134, respectively.

At the core of the stimulation device 100 is a programmablemicrocontroller 220 that controls the various modes of cardiac or othertherapy. As is well known in the art, microcontroller 220 typicallyincludes a microprocessor, or equivalent control circuitry, designedspecifically for controlling the delivery of stimulation therapy, andmay further include RAM or ROM memory, logic and timing circuitry, statemachine circuitry, and I/O circuitry. Typically, microcontroller 220includes the ability to process or monitor input signals (data orinformation) as controlled by a program code stored in a designatedblock of memory. The type of microcontroller is not critical to thedescribed implementations. Rather, any suitable microcontroller 220 maybe used that is suitable to carry out the functions described herein.The use of microprocessor-based control circuits for performing timingand data analysis functions are well known in the art.

Representative types of control circuitry that may be used in connectionwith the described embodiments can include the microprocessor-basedcontrol system of U.S. Pat. No. 4,940,052, the state-machine of U.S.Pat. Nos. 4,712,555 and 4,944,298, all of which are incorporated byreference herein. For a more detailed description of the various timingintervals used within the stimulation device and theirinter-relationship, see U.S. Pat. No. 4,788,980, also incorporatedherein by reference.

FIG. 2 also shows an atrial pulse generator 222 and a ventricular pulsegenerator 224 that generate pacing stimulation pulses for delivery bythe right atrial lead 104, the coronary sinus lead 106, and/or the rightventricular lead 108 via an electrode configuration switch 226. It isunderstood that in order to provide stimulation therapy in each of thefour chambers of the heart (or to other tissue) the atrial andventricular pulse generators, 222 and 224, may include dedicated,independent pulse generators, multiplexed pulse generators, or sharedpulse generators. The pulse generators 222 and 224 are controlled by themicrocontroller 220 via appropriate control signals 228 and 230,respectively, to trigger or inhibit the stimulation pulses.

The microcontroller 220 further includes timing control circuitry 232 tocontrol the timing of the stimulation pulses (e.g., pacing rate,atrio-ventricular (AV) delay, interatrial conduction (AA) delay, orinterventricular conduction (VV) delay, etc.) as well as to keep trackof the timing of refractory periods, blanking intervals, noise detectionwindows, evoked response windows, alert intervals, marker channeltiming, etc., which is well known in the art.

The microcontroller 220 further includes an arrhythmia detector 234. Thedetector 234 can be utilized by the stimulation device 100 fordetermining desirable times to administer various therapies. Thedetector 234 may be implemented in hardware as part of themicrocontroller 220, or as software/firmware instructions programmedinto the device and executed on the microcontroller 220 during certainmodes of operation.

Microcontroller 220 further includes a morphology discrimination module236, a capture detection module 237 and an auto sensing module 238.These modules are optionally used to implement various exemplaryrecognition algorithms and/or methods presented below. Theaforementioned components may be implemented in hardware as part of themicrocontroller 220, or as software/firmware instructions programmedinto the device and executed on the microcontroller 220 during certainmodes of operation. The capture detection module 237, as describedherein, may aid in acquisition, analysis, etc., of information relatingto IEGMs and, in particular, act to distinguish capture versusnon-capture versus fusion.

The microcontroller 220 further includes an optional position and/ormetrics module 239. The module 239 may be used for purposes of acquiringposition information, for example, in conjunction with a device(internal or external) that may use body surface patches or otherelectrodes (internal or external). The microcontroller 220 may initiateone or more algorithms of the module 239 in response to a signaldetected by various circuitry or information received via the telemetrycircuit 264. Instructions of the module 239 may cause the device 100 tomeasure potentials using one or more electrode configurations where thepotentials correspond to a potential field generated by currentdelivered to the body using, for example, surface patch electrodes. Sucha module may help monitor electrode positions and cardiac mechanics inrelationship to cardiac electrical activity and may help to optimizecardiac resynchronization therapy. The module 239 may includeinstructions for vector analyses, for example, based on locally acquiredor transmitted position information. The module 239 may operate inconjunction with various other modules and/or circuits of the device 100(e.g., the impedance measuring circuit 278, the switch 226, the A/D 252,etc.).

The electronic configuration switch 226 includes a plurality of switchesfor connecting the desired electrodes to the appropriate I/O circuits,thereby providing complete electrode programmability. Accordingly,switch 226, in response to a control signal 242 from the microcontroller220, determines the polarity of the stimulation pulses (e.g., unipolar,bipolar, etc.) by selectively closing the appropriate combination ofswitches (not shown) as is known in the art.

Atrial sensing circuits 244 and ventricular sensing circuits 246 mayalso be selectively coupled to the right atrial lead 104, coronary sinuslead 106, and the right ventricular lead 108, through the switch 226 fordetecting the presence of cardiac activity in each of the four chambersof the heart. Accordingly, the atrial and ventricular sensing circuits,244 and 246, may include dedicated sense amplifiers, multiplexedamplifiers, or shared amplifiers. Switch 226 determines the “sensingpolarity” of the cardiac signal by selectively closing the appropriateswitches, as is also known in the art. In this way, the clinician mayprogram the sensing polarity independent of the stimulation polarity.The sensing circuits (e.g., 244 and 246) are optionally capable ofobtaining information indicative of tissue capture.

Each of the sensing circuits 244 and 246 preferably employs one or morelow power, precision amplifiers with programmable gain and/or automaticgain control, bandpass filtering, and a threshold detection circuit, asknown in the art, to selectively sense the cardiac signal of interest.The automatic gain control enables the device 100 to deal effectivelywith the difficult problem of sensing the low amplitude signalcharacteristics of atrial or ventricular fibrillation.

The outputs of the atrial and ventricular sensing circuits 244 and 246are connected to the microcontroller 220, which, in turn, is able totrigger or inhibit the atrial and ventricular pulse generators 222 and224, respectively, in a demand fashion in response to the absence orpresence of cardiac activity in the appropriate chambers of the heart.Furthermore, as described herein, the microcontroller 220 is alsocapable of analyzing information output from the sensing circuits 244and 246 and/or the data acquisition system 252 to determine or detectwhether and to what degree tissue capture has occurred and to program apulse, or pulses, in response to such determinations. The sensingcircuits 244 and 246, in turn, receive control signals over signal lines248 and 250 from the microcontroller 220 for purposes of controlling thegain, threshold, polarization charge removal circuitry (not shown), andthe timing of any blocking circuitry (not shown) coupled to the inputsof the sensing circuits, 244 and 246, as is known in the art.

For arrhythmia detection, the device 100 may utilize the atrial andventricular sensing circuits, 244 and 246, to sense cardiac signals todetermine whether a rhythm is physiologic or pathologic. Of course,other sensing circuits may be available depending on need and/or desire.In reference to arrhythmias, as used herein, “sensing” is reserved forthe noting of an electrical signal or obtaining data (information), and“detection” is the processing (analysis) of these sensed signals andnoting the presence of an arrhythmia or of a precursor or other factorthat may indicate a risk of or likelihood of an imminent onset of anarrhythmia.

The exemplary detector module 234, optionally uses timing intervalsbetween sensed events (e.g., P-waves, R-waves, and depolarizationsignals associated with fibrillation) and to perform one or morecomparisons to a predefined rate zone limit (i.e., bradycardia, normal,low rate VT, high rate VT, and fibrillation rate zones) and/or variousother characteristics (e.g., sudden onset, stability, physiologicsensors, and morphology, etc.) in order to determine the type ofremedial therapy (e.g., anti-arrhythmia, etc.) that is desired or needed(e.g., bradycardia pacing, anti-tachycardia pacing, cardioversion shocksor defibrillation shocks, collectively referred to as “tiered therapy”).Similar rules can be applied to the atrial channel to determine if thereis an atrial tachyarrhythmia or atrial fibrillation with appropriateclassification and intervention.

Cardiac signals are also applied to inputs of an analog-to-digital (A/D)data acquisition system 252. The data acquisition system 252 isconfigured to acquire intracardiac electrogram (IEGM) signals or otheraction potential signals, convert the raw analog data into a digitalsignal, and store the digital signals for later processing and/ortelemetric transmission to an external device 254. The data acquisitionsystem 252 is coupled to the right atrial lead 104, the coronary sinuslead 106, the right ventricular lead 108 and/or another lead (e.g., thelead 110) through the switch 226 to sample cardiac signals or othersignals across any pair or other number of desired electrodes. A controlsignal 256 from the microcontroller 220 may instruct the A/D 252 tooperate in a particular mode (e.g., resolution, amplification, etc.).

Various exemplary mechanisms for signal acquisition are described hereinthat optionally include use of one or more analog-to-digital converter.Various exemplary mechanisms allow for adjustment of one or moreparameter associated with signal acquisition.

The microcontroller 220 is further coupled to a memory 260 by a suitabledata/address bus 262, wherein the programmable operating parameters usedby the microcontroller 220 are stored and modified, as required, inorder to customize the operation of the stimulation device 100 to suitthe needs of a particular patient. Such operating parameters define, forexample, pacing pulse amplitude, pulse duration, electrode polarity,rate, sensitivity, automatic features, arrhythmia detection criteria,and the amplitude, waveshape, number of pulses, and vector of eachshocking pulse to be delivered to the patient's heart 102 within eachrespective tier of therapy. One feature of the described embodiments isthe ability to sense and store a relatively large amount of data (e.g.,from the data acquisition system 252), which data may then be used forsubsequent analysis to guide the programming and operation of the device100.

Advantageously, the operating parameters of the implantable device 100may be non-invasively programmed into the memory 260 through a telemetrycircuit 264 in telemetric communication via communication link 266 withthe external device 254, such as a programmer, transtelephonictransceiver, or a diagnostic system analyzer. The microcontroller 220activates the telemetry circuit 264 with a control signal 268. Thetelemetry circuit 264 advantageously allows intracardiac electrograms(IEGM) and other information (e.g., status information relating to theoperation of the device 100, etc., as contained in the microcontroller220 or memory 260) to be sent to the external device 254 through anestablished communication link 266.

The stimulation device 100 can further include one or more physiologicsensors 270. For example, the device 100 may include a “rate-responsive”sensor that may provide, for example, information to aid in adjustmentof pacing stimulation rate according to the exercise state of thepatient. However, the one or more physiological sensors 270 may furtherbe used to detect changes in cardiac output (see, e.g., U.S. Pat. No.6,314,323, entitled “Heart stimulator determining cardiac output, bymeasuring the systolic pressure, for controlling the stimulation”, toEkwall, issued Nov. 6, 2001, which discusses a pressure sensor adaptedto sense pressure in a right ventricle and to generate an electricalpressure signal corresponding to the sensed pressure, an integratorsupplied with the pressure signal which integrates the pressure signalbetween a start time and a stop time to produce an integration resultthat corresponds to cardiac output), changes in the physiologicalcondition of the heart, or diurnal changes in activity (e.g., detectingsleep and wake states). Accordingly, the microcontroller 220 responds byadjusting the various pacing parameters (such as rate, AV Delay, VVDelay, etc.) at which the atrial and ventricular pulse generators, 222and 224, generate stimulation pulses.

While shown as being included within the stimulation device 100, it isto be understood that one or more of the physiologic sensors 270 mayalso be external to the stimulation device 100, yet still be implantedwithin or carried by the patient. Examples of physiologic sensors thatmay be implemented in device 100 include known sensors that, forexample, sense respiration rate, oxygen concentration of blood, pH ofblood, CO₂ concentration of blood, ventricular gradient, cardiac output,preload, afterload, contractility, and so forth. Another sensor that maybe used is one that detects activity variance, wherein an activitysensor is monitored diurnally to detect the low variance in themeasurement corresponding to the sleep state. For a complete descriptionof the activity variance sensor, the reader is directed to U.S. Pat. No.5,476,483 which is hereby incorporated by reference.

The one or more physiologic sensors 270 optionally include sensors fordetecting movement and minute ventilation in the patient. Signalsgenerated by a position sensor, a MV sensor, etc., may be passed to themicrocontroller 220 for analysis in determining whether to adjust thepacing rate, etc. The microcontroller 220 may monitor the signals forindications of the patient's position and activity status, such aswhether the patient is climbing upstairs or descending downstairs orwhether the patient is sitting up after lying down.

The stimulation device 100 additionally includes a battery 276 thatprovides operating power to all of the circuits shown in FIG. 2. For thestimulation device 100, which employs shocking therapy, the battery 276is capable of operating at low current drains for long periods of time(e.g., preferably less than 10 μA), and is capable of providinghigh-current pulses (for capacitor charging) when the patient requires ashock pulse (e.g., preferably, in excess of 2 A, at voltages above 200V, for periods of 10 seconds or more). The battery 276 also desirablyhas a predictable discharge characteristic so that elective replacementtime can be detected.

The stimulation device 100 can further include magnet detectioncircuitry (not shown), coupled to the microcontroller 220, to detectwhen a magnet is placed over the stimulation device 100. A magnet may beused by a clinician to perform various test functions of the stimulationdevice 100 and/or to signal the microcontroller 220 that the externalprogrammer 254 is in place to receive or transmit data to themicrocontroller 220 through the telemetry circuits 264.

The stimulation device 100 further includes an impedance measuringcircuit 278 that is enabled by the microcontroller 220 via a controlsignal 280. The known uses for an impedance measuring circuit 278include, but are not limited to, lead impedance surveillance during theacute and chronic phases for proper lead positioning or dislodgement;detecting operable electrodes and automatically switching to an operablepair if dislodgement occurs; measuring respiration or minuteventilation; measuring thoracic impedance for determining shockthresholds; detecting when the device has been implanted; measuringstroke volume; and detecting the opening of heart valves, etc. Theimpedance measuring circuit 278 is advantageously coupled to the switch226 so that any desired electrode may be used.

In the case where the stimulation device 100 is intended to operate asan implantable cardioverter/defibrillator (ICD) device, it detects theoccurrence of an arrhythmia, and automatically applies an appropriatetherapy to the heart aimed at terminating the detected arrhythmia. Tothis end, the microcontroller 220 further controls a shocking circuit282 by way of a control signal 284. The shocking circuit 282 generatesshocking pulses of low (e.g., up to 0.5 J), moderate (e.g., 0.5 J to 10J), or high energy (e.g., 11 J to 40 J), as controlled by themicrocontroller 220. Such shocking pulses are applied to the patient'sheart 102 through at least two shocking electrodes, and as shown in thisembodiment, selected from the left atrial coil electrode 126, the RVcoil electrode 132, and/or the SVC coil electrode 134. As noted above,the housing 200 may act as an active electrode in combination with theRV electrode 132, or as part of a split electrical vector using the SVCcoil electrode 134 or the left atrial coil electrode 126 (i.e., usingthe RV electrode as a common electrode).

Cardioversion level shocks are generally considered to be of low tomoderate energy level (so as to minimize pain felt by the patient),and/or synchronized with an R-wave and/or pertaining to the treatment oftachycardia. Defibrillation shocks are generally of moderate to highenergy level (e.g., corresponding to thresholds in the range ofapproximately 5 J to 40 J), delivered asynchronously (since R-waves maybe too disorganized), and pertaining exclusively to the treatment offibrillation. Accordingly, the microcontroller 220 is capable ofcontrolling the synchronous or asynchronous delivery of the shockingpulses.

As already mentioned, the implantable device 100 includes impedancemeasurement circuitry 278. Such a circuit may measure impedance orelectrical resistance through use of various techniques. For example,the device 100 may deliver a low voltage (e.g., about 10 mV to about 20mV) of alternating current between the RV tip electrode 128 and the caseelectrode 200. During delivery of this energy, the device 100 maymeasure resistance between these two electrodes where the resistancedepends on any of a variety of factors. For example, the resistance mayvary inversely with respect to volume of blood along the path.

In another example, resistance measurement occurs through use of a fourterminal or electrode technique. For example, the exemplary device 100may deliver an alternating current between one of the RV tip electrode128 and the case electrode 200. During delivery, the device 100 maymeasure a potential between the RA ring electrode 121 and the RV ringelectrode 130 where the potential is proportional to the resistancebetween the selected potential measurement electrodes.

With respect to two terminal or electrode techniques, where twoelectrodes are used to introduce current and the same two electrodes areused to measure potential, parasitic electrode-electrolyte impedancescan introduce noise, especially at low current frequencies; thus, agreater number of terminals or electrodes may be used. For example,aforementioned four electrode techniques, where one electrode pairintroduces current and another electrode pair measures potential, cancancel noise due to electrode-electrolyte interface impedance.Alternatively, where suitable or desirable, a two terminal or electrodetechnique may use larger electrode areas (e.g., even exceeding about 1cm²) and/or higher current frequencies (e.g., above about 10 kHz) toreduce noise.

FIG. 3 shows an exemplary method 300 for acquiring position informationand calculating one or more metrics 330. In the example of FIG. 3, themethod 300 includes a configurations block 310 that includesintraoperative configurations 312 and chronic configurations 314. Theintraoperative configurations 312 pertain to configurations that may beachieved during an operative procedure. For example, during an operativeprocedure, one or more leads (and/or catheter(s)) may be positioned in apatient where the one or more leads are connected to, or variouslyconnectable to, a device configured to acquire information andoptionally to deliver electrical energy to the patient (e.g., to theheart, to a nerve, to other tissue, etc.). The chronic configurations314 pertain to configurations achievable by a chronically implanteddevice and its associated lead or leads. In general, intraoperativeconfigurations include those achievable by physically re-positioning alead (or catheter) in a patient's body while chronic configurationsnormally do not allow for re-positioning as a lead or leads are usuallyanchored during implantation or become anchored in the weeks to monthsafter implantation. Chronic configurations do, however, includeselection of a subset of the multiple implanted electrodes, for exampleusing the tip electrode versus the first ring electrode as a cathode orusing the tip and first ring as a bipolar pair versus using the tip andring as two independent cathodes. Thus, intraoperative configurationsinclude configurations available by changing device settings, electrodeselection, and physical position of electrodes, while chronicconfigurations include only those configurations available by changingdevice settings and electrode selection, or “electronic repositioning”of one or more stimulation electrodes.

As indicated in FIG. 3, an acquisition block 320 includes acquisition ofposition information 322 and optionally acquisition of pacing and/orother information 324 (e.g., electrical information as to electricalactivity of the heart, biosensor information, etc.). While an arrowindicates that a relationship or relationships may exist between theconfigurations block 310 and the acquisition block 320, acquisition ofinformation may occur by using in part an electrode (or other equipment)that is not part of a configuration. For example, the acquisition block320 may rely on one or more surface electrodes that define a coordinatesystem or location system for locating an electrode that defines one ormore configurations. For example, three pairs of surface electrodespositioned on a patient may be configured to deliver current and definea three-dimensional space whereby measurement of a potential locates anelectrode in the three-dimensional space.

As described herein, an electrode may be configured for delivery ofenergy to the body; for acquisition of electrical information; foracquisition of position information; for acquisition of electricalinformation and position information; for delivery of energy to the bodyand for acquisition of electrical information; for delivery of energy tothe body and for acquisition of position information; for delivery ofenergy to the body, for acquisition of electrical information and foracquisition of position information.

In various examples, acquisition of position information occurs bymeasuring one or more potentials where the measuring relies on anelectrode that assists in determining a position of the electrode orother item (e.g., a lead or sensor) where the electrode may also beconfigured to sense signals and/or deliver energy to the body (e.g.,electrical energy to pace a chamber of the heart). For example, anelectrode may deliver energy sufficient to stimulate the heart and thenbe tracked along one or more dimensions to monitor the positioninformation resulting from the stimulation. Further, such an electrodemay be used to acquire electrical information (e.g., an IEGM thatevidences an evoked response). Such an electrode can perform all threeof these tasks with proper circuitry and control. For example, afterdelivery of the energy, the electrode may be configured for acquiringone or more potentials related to position and for acquiring anelectrogram. To acquire potentials and an electrogram, circuitry mayinclude gating or other sampling techniques (e.g., to avoid circuitry orinterference issues). Such circuitry may rely on one sampling frequencyfor acquiring potentials for motion tracking and another samplingfrequency for acquiring an electrogram.

The method 300 of FIG. 3 includes a metrics block 330 that includesvector magnitude 332, vector angle 334 and other metrics 336. Suchmetrics are based, at least in part, on acquired position information.As described herein, a vector may be defined between two electrodes andmay be referenced with respect to one or more other electrodes. Forexample, a triangle may be defined between a right atrial electrode, aright ventricular electrode and an electrode in a vein of a lateral wallof the left ventricle. An analysis of position of these electrodes withrespect to time may indicate that two of the electrodes exhibit lessmovement over a cardiac cycle when compared to a third electrode. Insuch a scenario, the two electrodes that exhibit less movement may beused as a reference or references to more accurately track a vector withits vector tip defined by the position of third electrode. As describedherein, trials demonstrate that an electrode located in the apex of theright ventricle moves less than an electrode located along the lateralwall of the left ventricle (e.g., in a tributary vein of the coronarysinus). In trials, various aspects of a vector defined by an electrodelocated in right ventricular apex to an electrode located in a vein ofthe lateral wall of the left ventricle were analyzed with respect toindicators of cardiac performance. The results demonstrate that such aRV-to-LV vector can be used as an indicator of cardiac performance.

In the example of FIG. 3, the conclusion block 340 may perform actionssuch as to analyze metrics 342 and/or to optimize or monitor patientand/or device condition 344 based on one or more of the metrics 330.These options are described in more detail with respect to FIG. 4.

FIG. 4 shows an exemplary method 400 with various configurations 410(C1, C2, . . . , Cn) and options 450. As mentioned, a configuration maybe defined based on factors such as electrode location (e.g., withrespect to some physiological feature of the heart or anotherelectrode), stimulation parameters for an electrode or electrodes and,where appropriate, one or more interelectrode timings. Hence, withreference to FIG. 1, C1 may be a configuration that relies on the RV tipelectrode 128, the RV ring electrode 130, the LV tip electrode 122 andthe LV ring electrode 124 while C2 may be a configuration that relies onthe same electrodes as C1 but where the stimulation polarity for the LVelectrodes is reversed. Further, C3 may rely on the same electrodeswhere the timing between delivery of a stimulus to the RV and deliveryof a stimulus to the LV is different compared to C1. Yet further, C4 mayrely on the same electrodes where the duration of a stimulus to the RVis different compared to C1. In these foregoing examples, configurationsprovide for one or more electrodes to deliver energy to stimulate theright ventricle and for one or more electrodes to deliver energy tostimulate the left ventricle. In other examples, configurations mayprovide for stimulation of a single chamber at one or more sites,stimulation of one chamber at a single site and another chamber atmultiple sites, multiple chambers at multiple sites per chamber, etc.

As mentioned, configurations can include one or more so-called“stimulators” and/or “sensors”. Thus, the configurations block 410 mayselect a configuration that includes one or more of an electrode, alead, a catheter, a device, etc. In various examples, a stimulator or asensor can include one or more electrodes configured to measure apotential or potentials to thereby directly or indirectly provideposition information for the stimulator or the sensor. For example, alead-based oximeter (oxygen sensor) may include an electrode configuredto measure a potential for providing position information for theoximeter or a lead-based RF applicator may include electrodes configuredto measure potentials for providing position information for the RFapplicator or a tip of the lead.

In an acquisition block 420, acquisition occurs for information wheresuch information includes position information that pertains to one ormore electrodes of a configuration. In a determination block 430, one ormore metrics are determined based at least in part on the acquiredinformation (see, e.g., the metrics block 330 of FIG. 3). A conclusionsblock 430 provides for therapeutic or other action, which may beselected from one or more options 450.

In the example of FIG. 4, the one or more options 450 include selectionof a configuration 452 (e.g., Cx, where x is a number selected from 1 ton), issuance of a patient and/or device alert 454 that pertains tocondition of a patient or a condition of a device or associated lead(s)or electrode(s), and storage of conclusion(s) and/or data 456. Theoptions 450 may be associated with the configurations 410, as indicatedby an arrow. For example, storage of conclusions and/or data 456 mayalso store specific configurations, a generalization of theconfigurations (e.g., one or more shared characteristics), adevice/system arrangement (e.g., where the number and types ofconfigurations would be known based on the arrangement), etc.

As described herein, an exemplary method can include: locating one ormore electrodes within the heart and/or surrounding space (e.g.,intra-chamber, intra-vascular, intrapericardial, etc., which may becollectively referred to as “cardiac space”); acquiring information(e.g., via one or more measured potentials using a localization systemsuch as the ENSITE® NAVX® system or other system with appropriatefeatures); and calculating one or more metrics for at least one of theone or more electrodes. In such a method, the located electrodes may beconfigured for acquisition of electrical information indicative ofphysiological function (e.g., IEGMs, muscle signals, nerve signals,etc.). Further, with respect to acquisition of information, anacquisition system may operate at an appropriate sampling rate. Forexample, an acquisition system for position information may operate at asampling rate of about 100 Hz (e.g., the ENSITE® NAVX® system can sampleat about 93 Hz) and an acquisition system for electrical information mayoperate at a sampling rate of about 1200 Hz (e.g., in unipolar, bipolaror other polar arrangement).

An exemplary method may include preparing a patient for both implant ofa device such as the device 100 of FIGS. 1 and 2 and for electroanatomicmapping study. Such preparation may occur in a relatively standardmanner for implant prep, and using the ENSITE® NAVX® system or othersimilar technology for the mapping prep. As described herein, any of avariety of electroanatomic mapping or locating systems that can locateindwelling electrodes in and around the heart may be used.

Once prepped, a clinician or robot may place leads and/or catheters inthe patient's body, including any leads to be chronically implanted aspart of a therapy system (e.g., CRT), as well as optional additionalelectrodes that may yield additional information (e.g., to increaseaccuracy by providing global information or other information).

After an initial placement of an electrode-bearing catheter or anelectrode-bearing lead, a clinician may then connect one or moreelectrodes to an electroanatomic mapping or localization system. Theterm “connection” can refer to physical electrical connection orwireless connection (e.g., telemetric, RF, ultrasound, etc.) with theelectrodes or wireless connection with another device that is inelectrical contact with the electrodes.

Once an appropriate connection or connections have been made, real-timeposition data for one or more electrodes may be acquired for variousconfigurations or conditions. For example, position data may be acquiredduring normal sinus rhythm; pacing in one or more chambers; advancing,withdrawing, or moving a location of an electrode; pacing one or moredifferent electrode configurations (e.g. multisite pacing); or varyinginter-stimulus timing (e.g. AV delay, VV delay).

In various examples, simultaneous to the position recording, anintracardiac electrogram (IEGM) from each electrode can also be recordedand associated with the anatomic position of the electrode. Whilevarious examples refer to simultaneous acquisition, acquisition ofelectrical information and acquisition of position information may occursequentially (e.g., alternate cardiac cycles) or interleaved (e.g., bothacquired during the same cardiac cycle but offset by sampling time orsampling frequency).

In various exemplary methods, electrodes within the cardiac space may beoptionally positioned at various locations (e.g., by continuous movementor by discrete, sequential moves), with a localization system recordingthe real-time position information at each electrode position in apoint-by-point manner. Such position data can by associated with arespective anatomic point from which it was collected. By moving theelectrodes from point to point during an intervention, the position datafrom each location can be analyzed, optionally with respect to vectordefinitions, vector operations, etc., to provide one or more metrics.

As explained, an exemplary method can include mapping one or moremetrics, optionally in conjunction with one or more configurationparameters. In turn, an algorithm or a clinician may select aconfiguration (e.g., electrode location, multisite arrangement, AV/VVtiming, pacing voltage, etc.) that yielded the best value for cardiacperformance and use the selected configuration as a chronicconfiguration for the CRT system. Such a chronic configuration may beoptionally updated from time to time (e.g., during a follow-up visit, ina patient environment, etc., depending on specific capabilities of asystem).

Various exemplary methods, using either a single metric or a combinationof more than one metric, may automatically select a configuration,present an optimal configuration for acknowledgement by a clinician, orpresent various configurations to a clinician along with pros and consof each configuration (e.g., in objective or subjective terms). Pros andcons may pertain to cardiac performance, patient comfort (e.g., pain,lack of pain, overall feeling, etc.), device performance, etc. Asdescribed herein, various decisions are based on one or more vectormetrics.

An exemplary method may rely on certain equipment at time of implant orexploration and other equipment after implantation of a device todeliver a cardiac therapy. For example, during an intraoperativeprocedure, wireless communication may not be required; whereas, during afollow-up visit, measured potentials for position of chronicallyimplanted electrodes (e.g., mechanical information) and of measuredIEGMs using chronically implanted electrodes (e.g., electricalinformation) may be communicated wirelessly from an implanted device toan external device. With respect to optimization or assessment of achronically implanted system, in general, electrode location will not bealtered (e.g., except for dislocation or failure), but other parametersaltered to result in an optimal configuration (e.g., single- ormulti-site arrangement, polarity, stimulation energy, timing parameters,etc.).

As discussed herein, various exemplary techniques deliver current andmeasure potential where potential varies typically with respect tocardiac mechanics (e.g., due to motion). For example, electrodes fordelivery of current may be placed at locations that do not varysignificantly with respect to cardiac mechanics or other patient motion(e.g., breathing) while one or more electrodes for measuring potentialmay be placed at a location or locations that vary with respect tocardiac mechanics or other patient motion. Alternatively, electrodes formeasuring potential may be placed at locations that do not varysignificantly with respect to cardiac mechanics or other patient motionwhile one or more electrodes for delivery of current may be placed at alocation or locations that vary with respect to cardiac mechanics orother patient motion. Various combinations of the foregoing arrangementsare possible as well. Electrodes may be associated with a catheter or alead. In some instances, an electrode may be a “stand-alone” electrode,such as a case electrode of an implantable device (see, e.g., the caseelectrode 200 of the device 100 of FIGS. 1 and 2).

FIG. 5 shows an arrangement and method 500 that may rely in part on acommercially available system marketed as ENSITE® NAVX® navigation andvisualization system (see also LOCALISA® system, Medtronic, Inc.,Minnesota). The ENSITE® NAVX® system is a computerized storage anddisplay system for use in electrophysiology studies of the human heart.The system consists of a console workstation, patient interface unit,and an electrophysiology mapping catheter and/or surface electrode kit.By visualizing the global activation pattern seen on color-codedisopotential maps in the system, in conjunction with the reconstructedelectrograms, an electrophysiologist can identify the source of anarrhythmia and can navigate to a defined area for therapy. The ENSITE®system is also useful in treating patients with simpler arrhythmias byproviding non-fluoroscopic navigation and visualization of conventionalelectrophysiology (EP) catheters.

As shown in FIG. 5, electrodes 532, 532′, which may be part of astandard EP catheter 530 (or lead), sense electrical potentialassociated with current signals transmitted between three pairs ofsurface electrode patches 522, 522′ (x-axis), 524, 524′ (y-axis) and526, 526′ (z-axis). An addition electrode patch 528 (sometimes referredto as a “belly” patch) is available for reference, grounding or otherfunction. The ENSITE® NAVX® System can also collect electrical data froma catheter and can plot a cardiac electrogram from a particular location(e.g., cardiac vein 103 of heart 102). Information acquired may bedisplayed as a 3-D isopotential map and as virtual electrograms.Repositioning of the catheter allows for plotting of cardiacelectrograms from other locations. Multiple catheters may be used aswell. A cardiac electrogram or electrocardiogram (ECG) of normal heartactivity (e.g., polarization, depolarization, etc.) typically showsatrial depolarization as a “P wave”, ventricular depolarization as an “Rwave”, or QRS complex, and repolarization as a “T wave”. The ENSITE®NAVX® system may use electrical information to track or navigatemovement and construct three-dimensional (3-D) models of a chamber ofthe heart.

A clinician can use the ENSITE® NAVX® system to create a 3-D model of achamber in the heart for purposes of treating arrhythmia (e.g.,treatment via tissue ablation). To create the 3-D model, the clinicianapplies surface patches to the body. The ENSITE® NAVX® system transmitsan electrical signal between the patches and the system then senses theelectrical signal using one or more catheters positioned in the body.The clinician may sweep a catheter with electrodes across a chamber ofthe heart to outline structure. Signals acquired during the sweep,associated with various positions, can then be used to generate a 3-Dmodel. A display can display a diagram of heart morphology, which, inturn, may help guide an ablation catheter to a point for tissueablation.

With respect to the foregoing discussion of current delivery andpotential measurement, per a method 540, a system (e.g., such as theENSITE® NAVX® system) delivers low level separable currents from thethree substantially orthogonal electrode pairs (522, 522′, 524, 524′,526, 526′) positioned on the body surface (delivery block 542). Thespecific position of a catheter (or lead) electrode within a chamber ofthe heart can then be established based on three resulting potentialsmeasured between the recording electrode with respect to a referenceelectrode, as seen over the distance from each patch set to therecording tip electrode (measurement block 544). Sequential positioningof a catheter (or lead) at multiple sites along the endocardial surfaceof a specific chamber can establish that chamber's geometry, i.e.,position mapping (position/motion determination block 546). Where thecatheter (or lead) 530 moves, the method 540 may also measure motion.

In addition to mapping at specific points, the ENSITE® NAVX® systemprovides for interpolation (mapping a smooth surface) onto whichactivation voltages and times can be registered. Around 50 points arerequired to establish a surface geometry and activation of a chamber atan appropriate resolution. The ENSITE® NAVX® system also permits thesimultaneous display of multiple catheter electrode sites, and alsoreflects real-time motion of both ablation catheters and thosepositioned elsewhere in the heart.

The ENSITE® NAVX® system relies on catheters for temporary placement inthe body. Various exemplary techniques described herein optionally useone or more electrodes for chronic implantation. Such electrodes may beassociated with a lead, an implantable device, or other chronicallyimplantable component. Referring again to FIG. 3, the configurationblock 310 indicates that intraoperative configurations 312 and chronicconfigurations 314 may be available. Intraoperative configurations 312may rely on a catheter and/or a lead suitable for chronic implantation.

With respect to motion (e.g., change in position with respect to time),the exemplary system and method 500 may track motion of an electrode inone or more dimensions. For example, a plot 550 of motion versus timefor three dimensions corresponds to motion of one or more electrodes ofthe catheter (or lead) 530 positioned in a vessel 103 of the heart 102where the catheter (or lead) 530 includes the one or more electrodes532, 532′. Two arrows indicate possible motion of the catheter (or lead)530 where hysteresis may occur over a cardiac cycle. For example, asystolic path may differ from a diastolic path. An exemplary method mayanalyze hysteresis for any of a variety of purposes including assessingstability of an electrode of a catheter (or lead), assessing stabilityof a catheter (or lead), selection of a stimulation site, selection of asensing site, diagnosis of cardiac condition, etc.

The exemplary method 540, as mentioned, includes the delivery block 542for delivery of current, the measurement block 544 to measure potentialin a field defined by the delivered current and the determination block546 to determine position or motion based at least in part on themeasured potential. According to such a method, position or motionduring systole and/or diastole may be associated with electricalinformation or other information (e.g., biosensor, loading of a catheteror lead, intrinsic/paced activation, etc.). Alone, or in combinationwith other information, the position or motion information may be usedfor various assessments (e.g., stability assessments), selection ofoptimal stimulation site(s), determination of hemodynamic surrogates(e.g., surrogates to stroke volume, contractility, etc.), optimizationof CRT, placement of leads, determination of pacing parameters (AVdelay, W delay, etc.), etc.

The system 500 may use one or more features of the aforementionedENSITE® NAVX® system. For example, one or more pairs of electrodes (522,522′, 524, 524′, 526, 526′ and optionally 528) may be used to define oneor more dimensions by delivering an electrical signal or signals to abody and/or by sensing an electrical signal or signals. Such electrodes(e.g., patch electrodes) may be used in conjunction with one or moreelectrodes positioned in the body (e.g., the electrodes 532, 532′).

The exemplary system 500 may be used to track position or motion of oneor more electrodes due to systolic function, diastolic function,respiratory function, etc. Electrodes may be positioned along theendocardium and/or epicardium during a scouting or mapping process foruse in conjunction with electrical information. Such information mayalso be used alone, or in conjunction with other information (e.g.,electrical information), for assessing stability of an electrode orelectrodes for use in delivering a therapy or for identifying theoptimal location of an electrode or electrodes for use in delivering atherapy. For example, a location may be selected for optimal stability,for optimal stimulation, for optimal sensing, or for other purposes.

With respect to stimulation, stimulation may be delivered to controlcardiac mechanics (e.g., contraction of a chamber of the heart) andposition or motion information may be acquired where such information isassociated with the controlled cardiac mechanics. An exemplary selectionprocess may identify the best stimulation site based on factors such aselectrical activity, electromechanical delay, extent of motion,synchronicity of motion where motion may be classified as motion due tosystolic function or motion due to diastolic function. In general,motion information corresponds to motion of an electrode or electrodes(e.g., endocardial electrodes, epicardial electrodes, etc.) and may berelated to motion of the heart or other physiology.

As described with respect to FIG. 5, a localization system can acquireposition information for one or more electrodes on a lead or catheter.The ENSITE® NAVX® system can operate at a sampling frequency around 100Hz (10 ms), which, for a cardiac rhythm of 60 bpm, allows for 100samples per electrode per cardiac cycle. In various examples, samplingmay be gated to occur over only a portion of a cardiac cycle. Gating mayrely on fiducial markers such as peaks, gradients, crossings, etc., inan electrogram of heart activity. Other techniques for gating caninclude accelerometer techniques, impedance techniques, pressuretechniques, flow techniques, etc. For example, an accelerometer signalslope above a threshold value (e.g., due to cardiac contraction orrelaxation) can be used to commence acquisition of information or toterminate acquisition of information during a cardiac cycle. Such atechnique may be repeated over multiple cardiac cycles with or withoutapplication of electrical stimuli, medication, body position changes,etc.

As described herein, for one or more electrodes, a localization systemcan provide four-dimensional information (e.g., x, y, z and time). Thefour-dimensional information describes a three-dimensional trajectory inspace that can be analyzed or displayed in part, in whole or at one ormore key points in time. As mentioned, various other types ofinformation may be used to gate acquisition or to delineate points orsegments of a trajectory. For example, information provided by a surfaceEKG, an intracardiac EGM, or other biosignal can delineate a point orevent such as QRS onset or pacing pulse or a segment (e.g., QRS complex,QT interval, etc.).

Where an electrode is position in a vessel of the heart such as a vein(e.g., cardiac sinus (CS) vein or a tributary thereto), the trajectoryof the electrode will follow cardiac motion of nearby myocardium. Forexample, a CS lead electrode will trace the path traversed by epicardiumadjacent the CS or adjacent the particular CS tributary. If the leadposition is stable in a branch, the trajectory for consecutive beatswill typically remain within a bounded spatial volume; however, if thelead dislodges grossly, a shift in the CS lead electrode's position willbe apparent in a display or analysis of the acquired information.

In various instances, depending on placement of electrodes that generatea localization field, respiration may affect accuracy of position data.For example, referring to FIG. 5, as a patient breathes, the torsochanges shape, which can alter the alignment of the electrodes 522,522′, 524, 524′, 526, 526′ and 528. Further, as respiration introducesair into the body, dielectric properties of media between electrodes ofa directional pair may change. To account for the affects ofrespiration, an exemplary data acquisition technique may include analgorithm that compensates for respiratory motion. Alternatively,compensation of filtering may be performed after data acquisition, forexample, using one or more algorithms that identify frequencies in datathat are likely related to respiration and adjust the data (e.g., filteror normalize) to compensate for respiration. In other instances,respiration gating may be used during data acquisition, for example,akin to techniques used during acquisition of nuclear magnetic resonancedata (e.g., NMR or MRI data). For example, beats to be included in astability index metric may be gated to a particular portion of therespiratory cycle.

The ENSITE® NAVX® system includes a so-called “RespComp” algorithm thatuses a combination of impedance between various pairs of patches, whichcreate the localization field, as a measure of respiratory motion. Inyet another alternative, motion of electrodes that are known to bestable can be used to ascertain respiratory motion. For example,position data with respect to time may have low frequency content(approximately 0.1 Hz to approximately 0.5 Hz) that can be due torespiration, which can be subtracted from the motion of the electrode ofwhich stability is of interest.

Instantaneous fluid status, among other variables, can cause some driftin position as measured by a localization system such as the ENSITE®NAVX® system. An exemplary method can include a correction factor thataccounts for fluid status drift, which may be found by comparingposition of a stable electrode from one cycle to the next and applyingany measured offset to an electrode of interest.

As described herein, for various vector metrics, subtraction techniquesor other techniques may act to reduce or eliminate fluid statuscontributions or movement contributions caused by respiration, the heartin the body (e.g., within a localization field) or by patient movement(e.g., change in posture, etc.).

FIG. 6 shows a diagram of an exemplary scheme 600 that relies on aRV-to-LV vector. In FIG. 6, a triangle 610 is shown with respect to theheart 102. The vertices of the triangle include a right atrial point(RA), a right ventricular point (RV) and a left ventricular point (LV).A diagram 620 illustrates movement of the RV-to-LV vector during acardiac cycle. Specifically, when the heart 102 contracts, the vectorfrom the RV point to the LV point rotates in a counter-clockwisedirection during systole and rotates in clockwise direction duringdiastole. Trial data indicate that, at the end of systole, length of theRV-to-LV vector reaches a minimum while angle of rotation from deliveryof a pacing stimulus (V-pulse) reaches a maximum. In the example of FIG.6, the diagram 620 indicates that, during a cardiac cycle, motion of theRV point is much less than motion of the LV point. Further, dataindicate that the RA point also tends to move much less than the LVpoint. Hence, length of the RA-to-RV segment of the triangle 610 variesless during a cardiac cycle than length of the RV-to-LV segment or theRA-to-LV segment. As described herein, by collecting data with respectto time, waveforms are generated that exhibit physiologic behavior. Suchwaveforms can be analyzed by one or more techniques where a result orresults may be relied on for diagnosis, determining or selecting aconfiguration, etc.

As described herein, an exemplary method can include subtracting rightventricular position in a 3D coordinate system from left ventricularposition in the 3D coordinate system, or vice versa, to remove from theanalysis movement contributions caused by respiration, the heart itselfor a combination of both respiration and the heart itself (e.g.,movement of the heart in the body). Such a technique can also removepossible artifacts caused by body movements such as posture changes. Invarious scenarios, one or more subtraction techniques may be applied,for example, to isolate particular movement (e.g., consider a techniquethat subtracts contractile motion of a particular electrode). A centroidmay also be calculated for various points (e.g., a centroid of atriangle defined by a RA electrode, a RV electrode and a LV electrode).In such an example, movement of the centroid may be tracked over time(e.g., as a centroid waveform) and analyzed to, for example, enhancediagnosis of cardiac condition or selection of a configuration (e.g.,electrodes, timing parameters, etc.).

As shown in a block 632 of FIG. 6, for a site associated with the rightventricle, position of this site can be represented asSite_(RV)=(x_(RV), y_(RV), z_(RV)) and for a site associated with theleft ventricle, position of this site can be represented asSite_(LV)=(x_(LV), y_(LV), z_(LV)). Given the foregoing notation, asshown in a block 634 of FIG. 6, a vector can be defined asVector_(RV-LV)=Site_(RV)−Site_(LV). As shown by the vector operations ofa block 636 of FIG. 6, magnitude of this vector can be calculated as:Mag_(RV-LV)=|Site_(RV)−Site_(LV)|=((x _(RV) −x _(LV))²+(y _(RV) −y_(LV))²+(z _(RV) −z _(LV))²)^(0.5)

Also shown in the block 636, vector rotational angle can be calculatedusing the dot product of two vectors:Vector_(RV-LV)·Vector_(Ref)=|Vector_(RV-LV)∥Vector_(Ref)|cos θ

In the foregoing equation, the arc cosine function provides the angle θ.As indicated in the block 636, angular velocity w can be calculated fromthe time derivative of the angle (dθ/dt) and angular acceleration fromthe second time derivative of the angle (dω/dt). The various positiondata or angle data (or derivatives or other variants thereof), whereavailable with respect to time, may be represented as waveforms. Suchwaveforms may be analyzed, for example, by comparing waveforms fordifferent conditions (e.g., electrode configurations, stimulationparameters, patient positions, activity levels, etc.). Operations of thevarious blocks of the exemplary scheme 600 may be implemented asinstructions for execution by a processor or processors and may bestored in a computer-readable medium, for example, associated with acomputing device such as an implantable computing device or an externalcomputing device.

The reference vector, Vector_(Ref), is typically a fixed vector, forexample, based on positions at a time of (or prior to) a ventricularstimulus (e.g., V-pacing) or an intrinsic ventricular event (e.g.,R-sense) (e.g., to provide a baseline). As described herein, any timepoint or points may serve as a fiducial or fiducials in time, forexample, with respect to the cardiac cycle. As explained with respect toFIG. 6, the vector RV-to-LV (Vector_(RV-LV)) is a changing vector thatchanges in response to contraction of the heart, whether caused byintrinsic activity or delivery of a stimulus (e.g., as associated with apacing therapy).

FIG. 7 shows cross-sectional views of the heart during systole 720 andduring diastole 740 along with various plots 760. The ventricles of theheart 102 are often referred to as having a diastolic phase (diastole)and a systolic phase (systole). During the diastolic phase blood fillsthe ventricles and during the systolic phase, blood is ejected from theheart. In the cross-sectional view of the heart corresponding to systole720, the right ventricle and the left ventricle are shown as being ofsmaller area (and hence volume) than in the cross-sectional view of theheart corresponding to diastole 740.

The plots 760 include a plot of a triangle 762 with verticescorresponding to a right atrial electrode, a right ventricular electrodeand an electrode along a lateral wall of the left ventricle. In the plot762, a vector from the RV point to the LV point is shown for bothmaximum systolic contraction (filled circle) and maximum diastolicrelaxation (open circle). In a vector angle plot 764 and a vectormagnitude plot 766, filled circles identify angle and magnitude for apoint in time of maximum systolic contraction while open circlesidentify angle and magnitude for a point in time of maximum diastolicrelaxation. A surface ECG plot 768 is also shown, which indicates by itsmorphology that the data in the plots 764 and 766 corresponds to a pacedcardiac cycle. The angle and magnitude of the plots 764 and 766 may becalculated according to the equations of the block 636 of FIG. 6. Asindicated by the plots 764 and 766, angle and magnitude exhibitdiffering yet related morphologies for a cardiac cycle. As describedherein, analysis of such metrics, optionally in association with otherphysiological information, can provide insight into cardiac mechanicsand aid a clinician when setting-up an implantable device or programmingan implantable device. Further, where such information is availablechronically (post-implant), a clinician may monitor or adjust therapy.Where an implantable device includes circuitry to track magnitude, angleor magnitude and angle, such a device may be programmed to adjusttherapy based on such metrics (e.g., adjusting one or more parametersassociated with a therapy).

FIG. 8 shows cross-sectional views of the heart to illustrate variousvectors or sets of vectors; noting that the techniques described hereinmay rely on vectors or sets of vectors other than those shown in FIG. 8.The example vectors 820 are shown with respect to a right atrialelectrode of a right atrial lead 103, a tip or distal electrode of aright ventricular lead 105 and various electrodes of a multi-polar leftventricular lead 107 (e.g., a coronary sinus lead). The example vectors840 are shown with respect to a right atrial electrode of a right atriallead 103, electrodes of a multi-polar right ventricular lead 105 andelectrodes of a multi-polar left ventricular lead 107. The examplevectors 860 are shown with respect to a right atrial electrode of aright atrial lead 103, electrodes of a multi-polar right ventricularlead 105 and a tip or distal electrode of a ventricular lead 107.

FIG. 9 shows a series of plots 900 for a vector angle metric 920 and avector magnitude metric 940 over a series of paced cardiac cycles alongwith a surface ECG 960 and a block 980 of exemplary modules forcalculating various vector metrics. The plot 920 shows angle in degrees,which indicates that during a cardiac cycle, the RV-to-LV vector rotatesabout 6 degrees in clockwise and counter-clockwise directions. The plot940 shows magnitude in millimeters and indicated that, during a cardiaccycle, the RV-to-LV vector extends and contracts within a range of about10 mm (e.g., about 1 cm).

The trial data shown in the plots 900 of FIG. 9 demonstrate that thewaveforms of magnitude and angle are repeatable for each paced beat.Further, when maximum angle is achieved, magnitude is at its minimum,representing the farthest extent of contraction and rotation of theheart. If this correlation is not achieved due to inherent delay, anexemplary method may use the magnitude waveform and ECG to determineRV-to-LV vector amplitude. Further, if the time of peak angular rotationdoes not align with the time of peak-minimum distance, this indicatessome dissociation of myocardial shortening from twist, indicative ofpathologic dyssynchrony.

As described herein, an exemplary method can rely on a vector anglemetric, a vector magnitude metric or a combination of angle andmagnitude metrics to optimize parameters settings for an implantabledevice. For example, to assist a clinician in choosing optimal deviceparameters (e.g., in an acute setting with the ENSITE® NAVX® system).

As described herein, an exemplary method can rely on a vector anglemetric, a vector magnitude metric or a combination of angle andmagnitude metrics to optimize placement of one or more leads orelectrodes associated with an implantable device. For example, to assista clinician in choosing an optimal lead location (e.g., in an acutesetting with the ENSITE® NAVX® system).

As described herein, an exemplary method can rely on a vector anglemetric, a vector magnitude metric or a combination of angle andmagnitude metrics to optimize a stimulation vector associated with animplantable stimulation device. For example, to assist a clinician inchoosing an optimal electrode configuration for a pacing vector (e.g.,in an acute setting with the ENSITE® NAVX® system).

In the example of FIG. 9, the analysis modules 980 include acycle-to-cycle angle module, a cycle-to-cycle magnitude module, acycle-to-cycle area module, a cycle-to-cycle length module, a pacingstudies module, a morphology module, a ECG or other information moduleand an “other” module (e.g., for other data acquisition, analysis, etc.,related to cardiac performance, a therapy, a device, etc.). The modules980 may be provided as instructions executable by one or more processorsof an implantable device or an external device or both an implantabledevice and an external device (e.g., wholly or in part). Suchinstructions may be stored in one or more computer-readable media andoptionally transmitted using wireless technology (e.g., from an externaldevice to an implanted device).

FIG. 10 is a series of plots 1000 for a vector metric for RV pacing 1010and for biventricular pacing 1020 along with associated ECGs.Specifically, for RV pacing 1010, a vector magnitude versus time plot1012 is shown along with a surface ECG 1014 while for BiV pacing 1020, avector magnitude versus time plot 1022 is shown along with a surface ECG1024. Vertical dashed lines are shown for the RV pacing 1010 and BiVpacing 1020 data. In the plots 1012 and 1022, the vector magnitude isgiven in an unscaled distance, which can be scaled to millimeters, forexample, given field gradient data.

For RV pacing 1010, the plot 1012 shows that the RV-to-LV vector has amagnitude differential of about 4 mm over a cardiac cycle while for BiVpacing 1020, the plot 1022 shows that the RV-to-LV vector has amagnitude differential of about 7 mm over a cardiac cycle. Based on thisdata, one may conclude that the BiV pacing scenario 1020 provides forbetter cardiac performance when compared to the RV pacing scenario 1010.A clinician may rely on such information when setting-up an implantabledevice. Further, the clinician may adjust location or parameters in amanner to increase the magnitude differential for a selected pacingscenario. The clinician may also examine one or more metrics indicativeof consistency. For example, the plot 1012 shows more cycle-to-cyclevariation than the plot 1022; hence, the BiV pacing scenario 1020 may bedeemed to be more consistent (e.g., beneficial for a patient and/or adevice).

FIG. 11 shows a plot 1100 of systolic and diastolic RV-to-LV vectormagnitude and cardiac chamber pressure for various pacing schemes (RApacing, RV pacing, LV pacing and BiV pacing), which demonstrates howRV-to-LV vector magnitude, as a metric, can be a surrogate to cardiacchamber pressure. For all schemes, the systolic magnitude is less thanthe diastolic magnitude. Further, a differential may be defined as thediastolic magnitude minus the systolic magnitude. An exemplary methodmay rely on such a differential metric to optimize one or more aspectsof a therapy (e.g., electrode location, pacing mode, one or more delays,etc.).

In the plot 1100, filled squares correspond to maximum pressure (changein pressure with respect to time). Pressure is an accepted hemodynamicmeasure for assessing cardiac performance and, in particular, themaximum change in pressure with respect to time (dP/dt_(max)). Pressurechange with respect to time is shown in FIG. 11 to demonstrate that theexemplary RV-to-LV vector magnitude metric correlates with an acceptedstandard invasive pressure measure. For the plot 1100, LV pressure datawere acquired using a Millar pressure sensor (e.g., Ultra-MiniatureMIKRO-TIP®, Millar Instruments, Inc., Texas).

As demonstrated by the data of the plot 1100, the RV pacing conditionproduced the smallest vector magnitudes and the lowest maximum LVpressure change for a cardiac cycle (i.e., worst condition); whereas,the LV pacing condition produced the largest vector magnitudes andvector magnitude differential and the highest maximum LV pressure changefor a cardiac cycle (i.e., best condition). The results also indicatethat the tested biventricular pacing condition performs quite similarlyto the tested LV pacing condition.

FIG. 12 shows a plot 1220 and a plot 1240 of trial data for right atrialpacing (RA pacing), right ventricular pacing (RV pacing), leftventricular pacing (LV pacing) and biventricular pacing (BiV pacing).The plot 1220 provides bars that correspond to right-to-leftdyssynchrony in milliseconds (ms) on an inverted scale and filledsquares that correspond to maximum dP/dt (change in pressure withrespect to time). The plot 1240 provides bars that correspond totemporal dispersion of systolic peaks in milliseconds (ms) on aninverted scale and filled squares that correspond to maximum pressure(change in pressure with respect to time). As mentioned, pressure is anaccepted hemodynamic measure for assessing cardiac performance and, inparticular, the maximum change in pressure with respect to time (dP/dt).Pressure change with respect to time is shown in FIG. 12 to demonstratethat the exemplary right-to-left dyssynchrony metric and the temporaldispersion metric correlate with an accepted standard invasive pressuremeasure.

As demonstrated by the data of the plots 1220 and 1240, the RV pacingcondition produced the greatest right-to-left dyssynchrony, the greatesttemporal dispersion of systolic peaks and the lowest maximum LV pressurechange for a cardiac cycle (i.e., worst condition); whereas, the LVpacing condition produced the smallest right-to-left dyssynchrony, thesmallest temporal dispersion of systolic peaks and the highest maximumLV pressure change for a cardiac cycle (i.e., best condition). Theresults also indicate that the tested biventricular pacing conditionperforms quite similarly to the tested LV pacing condition. Variousexemplary approaches described herein may include a vector analysiswhere one or more vector metrics are used to assess cardiac performance,for example, with respect to a pacing configuration (e.g., a vectoranalysis can provide a right-to-left dyssynchrony metric and a vectoranalysis can provide a temporal dispersion metric).

FIG. 13 shows a series of plots of RV-to-LV vector length versus timefor two patients for various pacing schemes (i.e., various delays, RVfirst and LV first). Plots 1310 for a first patient includebiventricular pacing scenarios with a W of 0 ms (RV and LV pacedsimultaneously) and atrio-ventricular delays (AVD) of 40 ms, 100 ms and150 ms and biventricular scenarios where, with an AVD of 150 ms, the LVis paced 50 ms prior to the RV and where the RV is paced 50 ms prior tothe LV. The plots 1310 show slopes (e.g., systolic slopes) as associatedwith a change in RV-to-LV vector length with respect to time. Thegreatest negative slope (−26.2 mm/ms) occurs for an AVD of 100 ms and VVof 0 ms where the vector has a differential of about 3 mm to 4 mm over acardiac cycle. In contrast, the scenario for an AVD of 150 ms and RVfirst by 50 ms (VV=50 ms or −50 ms, depending on convention) has a slopeof −14.8 mm/ms and a differential of about 1 mm to 2 mm over a cardiaccycle. Such an analysis may assist a clinician in setting one or moreparameters of a pacing configuration for delivery of a therapy (e.g.,CRT).

Plots 1320 for a second patient include biventricular pacing scenarioswith a W of 0 ms and atrio-ventricular delays (AVD) of 40 ms, 100 ms and150 ms and a biventricular scenario where, with an AVD of 150 ms, the LVis paced 50 ms prior to the RV. The plots 1320 show slopes (e.g.,systolic slopes) as associated with a change in RV-to-LV vector lengthwith respect to time. The greatest negative slope (−31.3 mm/ms) occursfor an AVD of 150 ms and a VV of 50 ms (LV first) where the vector has adifferential of about 3 mm to 4 mm over a cardiac cycle. Such ananalysis may assist a clinician in setting one or more parameters of apacing configuration for delivery of a therapy (e.g., CRT).

FIG. 14 is a series of plots for RV pacing 1410, LV pacing 1420 andbiventricular pacing 1430 schemes. The plots include RA-to-RV vectormagnitude and RA-to-LV vector magnitude versus time plots 1412, 1422 and1432 along with associated ECGs 1414, 1424 and 1434, for RV pacing 1410,LV pacing 1420 and biventricular pacing 1430, respectively.

The vector metric plots 1412, 1422 and 1432 demonstrate how the heartmoves responsive to RV pacing 1410, LV pacing 1420 and biventricularpacing 1430 scenarios, respectively. The plot 1412 shows that, for theRV pacing scenario 1410, the displacement of the RA-to-RV vector isgreater than that of the RA-to-LV vector. The plot 1422 shows that, forthe LV pacing scenario 1420, the displacement of the RA-to-RV vector isless than that of the RA-to-LV vector. The plot 1432 shows that, for theBiV pacing scenario 1430, the displacement of the RA-to-RV vector isabout the same as that of the RA-to-LV vector.

FIG. 15 is a diagram of vector angles 1502 and a series of plots forintrinsic activation 1504, RV pacing 1510, LV pacing 1520 andbiventricular pacing 1530 schemes. The vector angles diagram 1502indicates angular movement of a RA-to-RV vector and a RA-to-LV vectorduring a cardiac cycle. For intrinsic activation 1504, a vectormagnitude plot 1506 for a RA-to-RV vector and a RA-to-LV vectordemonstrates increased displacement for the RA-to-LV vector compared tothe RA-to-RV vector during a cardiac cycle. A vector angle plot 1508shows how angle changes for each vector during the cardiac cycle. Inthis trial, the angle for the RA-to-LV vector shows a relativelyconstant slope to a maximum value while the RA-to-RV vector shows twoapproximately equal maxima.

The angle plots 1512, 1522 and 1532 correspond to the vector plots 1412,1422 and 1432 of FIG. 14. An analysis of the angle plots 1512, 1522,1532 demonstrates how the biventricular pacing scenario 1530 improvessynchrony (e.g., reduces dyssynchrony) compared to the intrinsicscenario 1504. Specifically, the biventricular pacing scenario 1530 actsto synchronize time to angular peak for both the RA-to-RV vector and theRA-to-LV vector.

FIG. 16 shows a block diagram of an exemplary method 1600 for selectingan optimal configuration based at least in part on vector metrics. In aselection block 1604, a vector configuration is selected (see, e.g., theblock 310 of FIG. 3 and the block 410 of FIG. 4). In an acquisitionblock 1608, three-dimensional position information is acquired for theselected vector configuration. In a determination block 1612, the vectorcoordinates or position(s) are determined based on the acquired positioninformation.

Once the vector is defined and position information provided, one ormore determination blocks can calculate one or more vector metrics. Forexample, in the method 1600, a vector magnitude determination block 1616determines vector magnitude while a vector rotational angledetermination block determines vector rotational angle (e.g., withrespect to a reference vector as described with respect to FIG. 6 orsee, e.g., vector diagram 1502 of FIG. 15).

Given one or more vector metrics, an analysis block 1624 may determine amaximum or maxima, a minimum or minima, a differential or differentials,a derivative or derivatives, an area or areas, etc., of the vectormetrics (e.g., optionally with respect to time, events, phase of acardiac cycle, etc.). The analysis block 1624 may call for storinginformation to memory, for example, to perform additional analyses or torecall results of an analysis.

In the example of FIG. 16, the method 1600 continues to a decision block1628 that decides whether another configuration is to be selected. Ifso, the method 1600 returns to the selection block 1604. If anotherconfiguration is not to be selected, the method 1600 enters a selectionblock 1632 that selects an optimal configuration, which may be one ofthe configurations tested or a suggested, optimal configuration based onan analysis of one or more tested configurations. In the example of FIG.16, the selection block 1632 acts to select a configuration, amongstmultiple tested configuration, with the maximum vector magnitude (e.g.,where the method 1600 has tested more than one configuration).

FIG. 17 shows an exemplary method 1740 with reference to a pacing scheme1710. In an acquisition block 1744, information is acquired for twovectors during at least a portion of a cardiac cycle. For example, aplot 1712 shows angles for two vectors over at least a portion of acardiac cycle. A determination block 1748, determines a phase shift forthe two vectors. For example, such a phase shift may be determinedaccording to a phase shift plot 1714 where the phase shift is equal to atime difference (AT) between peak angles for the two vectors.Accordingly, the time difference (AT) may be relied on as an indicatorof dyssynchrony (i.e., a dyssynchrony metric). A determination oroptimization block 1752 follows that can determine a W delay value basedon the phase shift or optimize an existing VV delay. For example, in aniterative manner, an initial iteration may determine an initial shiftfor use as a VV delay. In a subsequent iteration, the method 1740 may berepeated, commencing at the acquisition block 1744. In such a manner,the VV delay is updated until the shift reaches some acceptable minimumaccording to a predefined parameter (e.g., a few milliseconds). Hence,as described herein, an analysis of data for two vectors may be used todetermine or optimize VV delay.

Various exemplary methods described herein include vector analysis tooptimize cardiac therapy such as CRT. Various methods rely on RA-to-RVand RA-to-LV vectors and associated features as indicators of mechanicaldyssynchrony. In general, the vectors are defined by electrodes wherethe electrodes may be tracked with respect to time over at least aportion of a cardiac cycle. Various examples include acquisition ofmotion information for RA, RV and LV electrodes (e.g., associated with aCRT system).

As described herein, vector information may be acquired with respect totime and presented as vector waveforms. For example, the plots 1412,1422 and 1432 of FIG. 14 and the plots 1506, 1508, 1510, 1520 and 1530of FIG. 15 show vector waveforms (e.g., vector magnitude waveforms andvector angle waveforms).

Various exemplary methods include statistical analysis. For example, amethod can include a correlation analysis to generate a correlationcoefficient that indicates strength and direction of a linearrelationship between two variables (e.g., vectors). Where a correlationcoefficient approaches 1, a strong linear relationship exists; whereas,as a correlation coefficient approaches −1, a decreasing linearrelationship exists. The closer a correlation coefficient is to either−1 or 1, the stronger the correlation between the variables. In ageometric interpretation, for centered data (e.g., data shifted by asample mean to have an average of zero), a correlation coefficient canbe represented as the cosine of the angle between two vectors of samplesdrawn from the two variables.

In statistics, the term cross-covariance is sometimes used to refer tothe covariance cov(X, Y) between two random vectors X and Y, in order todistinguish that concept from the “covariance” of a random vector X,which is understood to be the matrix of covariances between the scalarcomponents of X. In signal processing, the cross-covariance is a measureof similarity of two signals. Cross-covariance is a function of therelative time between two signals and is sometimes called the slidingdot product (e.g., with applications in pattern recognition).

As described herein, an exemplary method includes statistical analysisof a RA-to-RV vector waveform and a RA-to-LV vector waveform. Such ananalysis may be used as an indicator of dyssynchrony, for example, foracute CRT optimization or chronic CRT optimization. Such an index may becalculated by a cross-covariance technique, in which a value of 1represents 100% synchrony and a value of −1 represents 100% dyssynchrony(e.g., “anti-synchrony” or negative synchrony). A value of about 0 mayrepresent somewhat independent behavior of the two vectors. In general,as a value becomes closer to 1, the therapy provides for bettersynchrony (e.g., a desired result of CRT).

In an exemplary method, a lead can be placed by intrapericardialprocedure at an epicardial surface or placed endocardially inside acardiac chamber (e.g., including LA and LV). In such an example,positions from other available electrodes (e.g., from other diagnosticor therapeutic devices, including EP catheters, guidewires, stylets ordelivery tools) can be tracked as well.

An exemplary system that includes a RA-to-RV vector and a RA-to-LVvector can be defined by tip electrode positions for RA, RV and LV leadswhere the RA tip coordinate is (X1, Y1, Z1), the RV tip coordinate is(X2, Y2, Z2) and the LV tip coordinate is (X3, Y3, Z3). Given thisnotation, a formula for the calculation can be given as:|{right arrow over (RARV)}|=√{square root over ((x ₂ −x ₁)²+(y ₂ −y₁)²+(z ₂ −z ₁)²)}{square root over ((x ₂ −x ₁)²+(y ₂ −y ₁)²+(z ₂ −z₁)²)}{square root over ((x ₂ −x ₁)²+(y ₂ −y ₁)²+(z ₂ −z ₁)²)}|{right arrow over (RALV)}|=√{square root over ((x ₃ −x ₁)²+(y ₃ −y₁)²+(z ₃ −z ₁)²)}{square root over ((x ₃ −x ₁)²+(y ₃ −y ₁)²+(z ₃ −z₁)²)}{square root over ((x ₃ −x ₁)²+(y ₃ −y ₁)²+(z ₃ −z ₁)²)}

As described herein, a cross-covariance coefficient may be used as adyssynchrony index. For discrete functions f_(i) and g_(i) thecross-covariance is defined as:cov(j)Σi=1:nf*(j)g(j+i)where the sum is over the appropriate values of the integer j and anasterisk indicates the complex conjugate. For continuous functions f (x)and g_(i) the cross-covariance is defined as:

${\left( {f*g} \right)(x)}\overset{def}{=}{\int{f*(t){g\left( {x + t} \right)}{\mathbb{d}t}}}$where the integral is over the appropriate values of t.

As described herein, an exemplary method may apply a simple regressiontechnique for data associated a RA-to-RV vector and a RA-to-LV vector.For example, given such an approach, if the mean squared error (MSE) isat a minimum, then a result may be considered optimal.

As described herein, an exemplary dyssynchrony index can be calculatedby a cross-covariance technique to define similarity between RA-to-RVvector and RA-to-LV vector distance waveforms. This index represents thesynchrony for both time and amplitude features simultaneously. In analternative approach, individual features of two waveforms, such as timeto a peak, valley, or inflection, or the value at a peak, valley, orinflection can be used instead of an entire waveform morphology.Accordingly, a correlation between time and/or value of one or morefeatures can be used as a dyssynchrony index. For example, where the RVand LV contract at the same time, the RA-to-RV vector and RA-to-LVvector waveforms should coincide not only for time features, but alsofor amplitude features. On the other hand, if the RA-to-RV vector andthe RA-to-LV vector are misaligned, then both time and amplitudefeatures for these two vectors will be opposed to each other.Subtraction techniques may be optionally used to subtract one waveformfrom another waveform where the resulting waveform may be analyzed(e.g., mathematically, for morphology, etc.) to aid in diagnosis,selecting a configuration, etc.

As described herein, an exemplary method includes computing features ofa RA-to-RV vector and a RA-to-LV vector waveform. For example, areaunder each waveform may be compared and a dyssynchrony index defined asa difference (optimal==0) or quotient (optimal==1) between the areas.Further, area between two waveforms can be computed where an index(e.g., optimal==0) is defined as the area between the two waveforms fora portion of a cardiac cycle, a cardiac cycle or several cardiac cycles.

An exemplary method may include calculating a sum, an average, a mean, aproduct, or a convolution of two vector waveforms (e.g., a RA-to-RVvector waveform and a RA-to-LV vector waveforms). According to such amethod, an index may be defined as a peak-to-peak value or a maximum oran average slope value where, the higher the value of the index, themore synchronized the vectors and hence the corresponding chambers orregions of the heart.

While various examples mention vector magnitude or distance, otherfeatures may be used, including vector angle. An exemplary approach mayalso include resolving a 3D vector into one or more components,optionally aligned with a physiologically relevant direction (e.g., along or short axis of the heart).

FIG. 18 shows an exemplary method 1800 that may rely on one or moreexemplary indexes or techniques 1850. As described herein, variousmetrics are referred to as indexes. For example, a dyssynchrony indexcan be calculated based on magnitude or angle waveforms for a rightventricular vector and a left ventricular vector. Such a dyssynchronyindex may be an interventricular dyssynchrony index 1855. Other types ofvector-based indexes include, for example, an intraventriculardyssynchrony index 1860, an interatrial dyssynchrony index 1865, anintraatrial dyssynchrony index 1870 and an interatrioventriculardyssynchrony index 1875. As described herein, various exemplary vectoranalysis techniques include statistical techniques 1880 such ascorrelation or cross-covariance. Accordingly, therapy configuration,parameters or configuration and parameters may be determined andoptimized using one or more exemplary vector-based methods. For example,an exemplary guiding technique 1885 may optimize position of an LV leadfor CRT.

The exemplary method 1800 includes a selection block 1804 that selectsone or more vector configurations (e.g., according to one or more of theindexes or techniques 1850). An acquisition block 1808 acquiresthree-dimensional position information, typically with respect to time(e.g., according to one or more of the indexes or techniques 1850). Acalculation block 1812 calculates one or more indexes, applies atechnique or a combination thereof (e.g., according to one or more ofthe indexes or techniques 1850). A determination block 1816 determinesone or more of a configuration and a parameter based, at least in parton, the result(s) of the calculation block 1812. A decision block 1820decides whether to iterate the method 1800, for example, to understandbetter a scenario, to optimize a configuration, to optimize a parameter,etc. If the decision block 1820 decides to iterate, the method 1800 maycontinue according to, for example, Option A (selection block 1804),Option B (acquisition block 1808) or Option C (calculation block 1812).If the decision block 1820 decides not to iterate (e.g., optionallyafter one or more iterations), the method 1800 continues in a deliveryblock 1824, which configures a therapy using a configuration, parameter,etc., determined at least in part on a vector analysis. For example, thedelivery block 1824 may include programming an implantable device to usea certain electrode configuration, a certain delay, etc. The method 1800may be performed by a computing system in an automated or semi-automatedmanner, for example, based on control logic. Control logic is, ingeneral, circuitry such as hardware or a combination of hardware andsoftware, which may allow for input by a clinician or other operator.Control logic may be implemented based on instructions stored in acomputer-readable memory. For example, an exemplary computer-readablememory can include instructions that configure a computing device toperform various actions of an exemplary method (e.g., selection ofvectors, acquisition of information, calculations, determinations,decisions to iterate, etc.).

As explained with respect to FIG. 18, an exemplary method can includecalculating an interventricular mechanical dyssynchrony index based onvector features 1855 (e.g., RA-to-RV and RA-to-LV vectors); an exemplarymethod can include calculating an intraventricular mechanicaldyssynchrony index based on vector features 1860 (e.g., RA-to-LV1 andRA-to-LV2 vectors or by placing a multielectrode catheter, or lead,either inside a chamber or inside one or more branches of the coronarysinus (e.g., to aid optimization of electronic repositioning)); anexemplary method can include calculating an interatrial dyssynchronyindex based on vector features 1865, for example, by selecting RA-to-RVand LA-to-RV vectors, or other vector configurations (e.g., RA-to-LV andLA-to-LV); an exemplary method can include calculating an intraatrialdyssynchrony index based on vector features 1870 (e.g., various LA orvarious RA configurations); and an exemplary method can includecalculating a vector-based interatrioventricular dyssynchrony index 1875by selecting RA-to-LV and RV-to-LV vectors, or other vectorconfigurations (e.g., LA-to-RV, RV-to-LV etc.).

As shown in FIG. 18, an exemplary method for optimization of a CRTdevice can use one or more vector-based dyssynchrony indexes. Forexample, in such a method, after one or more leads are placed at adesired position or positions, connections may be made to a localizationsystem (e.g., the ENSITE® NAVX® system) to record 3-D motion for variouselectrodes. The localization system may then calculate a dyssynchronyindex and provide an output, for example, by rendering the informationto a display (e.g., optionally with waveform graphs). A clinician mayselect one or more different types of pacing interventions and acquirefurther information. A comparison can be made of dyssynchrony indexesfor the different scenarios (e.g., pacing intervention, position, etc.)to guide the clinician to an optimum configuration for delivery of atherapy. As indicated FIG. 18, an exemplary system can implement amethod 1885 for guiding the LV lead placement by measuring avector-based dyssynchrony index during an implant procedure orrelocation procedure. An exemplary method can include mapping of acoronary sinus by superimposing one or more dyssynchrony indexes overone or more anatomical markers of the coronary sinus. In such anapproach, a clinician can determine where to place an LV electrode(e.g., a LV lead) to achieve an optimal pacing effect (e.g., based onreduced mechanical latency).

As explained, various exemplary methods can include statistical analysisof vector-based features. For example, as indicated in FIG. 18,exemplary statistical techniques 1880 may be used for optimizingtherapy.

FIG. 19 shows an exemplary validation technique 1905, which may be usedto validate vector-based indexes, techniques, associated methods (see,e.g., FIG. 18). The validation technique 1905 relies onechocardiographic data, as shown in a plot 1910 of ENSITE® systemmechanical dyssynchrony index (ENMDI) data and a plot 1930 of septal toposterior wall motion delay (SPWMD) data. The plot 1910 includes RVpacing data 1912 and biventricular pacing data 1914. Similarly, the plot1930 includes RV pacing data 1932 and biventricular pacing data 1934.These data indicate that various exemplary dyssynchrony indexes (basedon vector analysis) correlate with echocardiograph data, for a group offive patients; noting that in all but one patient, biventricular pacingresulted in higher ENMDI and SPWMD values. In the particular example ofFIG. 19, the ENMDI is computed as the zero-time lag coefficient of thecross-covariance (e.g., physiological or realtime “phase”); noting thatone or more other coefficients may be analyzed (e.g., corresponding tophase shifts, etc.).

Exemplary External Programmer

FIG. 20 illustrates pertinent components of an external programmer 2000for use in programming an implantable medical device 100 (see, e.g.,FIGS. 1 and 2). The external programmer 2000 optionally receivesinformation from other diagnostic equipment 2150, which may be acomputing device capable of acquiring location information and otherinformation. For example, the equipment 2150 may include a computingdevice to deliver current and to measure potentials using a variety ofelectrodes including at least one electrode positionable in the body(e.g., in a vessel, in a chamber of the heart, within the pericardium,etc.). Equipment may include a lead for chronic implantation or acatheter for temporary implantation in a patient's body. Equipment mayallow for acquisition of respiratory motion and aid the programmer 2000in distinguishing respiratory motion from cardiac.

Briefly, the programmer 2000 permits a clinician or other user toprogram the operation of the implanted device 100 and to retrieve anddisplay information received from the implanted device 100 such as IEGMdata and device diagnostic data. Where the device 100 includes a modulesuch as the position and/or metrics module 239, then the programmer 2000may instruct the device 100 to measure potentials and to communicatemeasured potentials to the programmer via a communication link 2153. Theprogrammer 2000 may also instruct a device or diagnostic equipment todeliver current to generate one or more potential fields within apatient's body where the implantable device 100 may be capable ofmeasuring potentials associated with the field(s).

The external programmer 2000 may be configured to receive and displayECG data from separate external ECG leads 2232 that may be attached tothe patient. The programmer 2000 optionally receives ECG informationfrom an ECG unit external to the programmer 2000. As already mentioned,the programmer 2000 may use techniques to account for respiration.

Depending upon the specific programming, the external programmer 2000may also be capable of processing and analyzing data received from theimplanted device 100 and from ECG leads 2232 to, for example, renderdiagnosis as to medical conditions of the patient or to the operationsof the implanted device 100. As noted, the programmer 2000 is alsoconfigured to receive data representative of conduction time delays fromthe atria to the ventricles and to determine, therefrom, an optimal orpreferred location for pacing. Further, the programmer 2000 may receiveinformation such as ECG information, IEGM information, information fromdiagnostic equipment, etc., and determine one or more metric (e.g.,consider the method 300 of FIG. 3, the method 400 of FIG. 4, etc.).

Now, considering the components of programmer 2000, operations of theprogrammer are controlled by a CPU 2202, which may be a generallyprogrammable microprocessor or microcontroller or may be a dedicatedprocessing device such as an application specific integrated circuit(ASIC) or the like. Software instructions to be performed by the CPU2202 are accessed via an internal bus 2204 from a read only memory (ROM)2206 and random access memory 2230. Additional software may be accessedfrom a hard drive 2208, floppy drive 2210, and CD ROM drive 2212, orother suitable permanent or removable mass storage device. Dependingupon the specific implementation, a basic input output system (BIOS) isretrieved from the ROM 2206 by CPU 2202 at power up. Based uponinstructions provided in the BIOS, the CPU 2202 “boots up” the overallsystem in accordance with well-established computer processingtechniques.

Once operating, the CPU 2202 displays a menu of programming options tothe user via an LCD display 2114 or other suitable computer displaydevice. To this end, the CPU 2202 may, for example, display a menu ofspecific programming parameters of the implanted device 100 to beprogrammed or may display a menu of types of diagnostic data to beretrieved and displayed. In response thereto, the clinician entersvarious commands via either a touch screen 2116 overlaid on the LCDdisplay or through a standard keyboard 2118 supplemented by additionalcustom keys 2120, such as an emergency VVI (EVVI) key. The EVVI key setsthe implanted device to a safe VVI mode with high pacing outputs. Thisensures life sustaining pacing operation in nearly all situations but byno means is it desirable to leave the implantable device in the EVVImode at all times.

With regard to the determination of location stability (e.g., forpacing, sensing, etc.), CPU 2202 includes a metric analysis system 2241and a 3-D mapping system 2247. The systems 2241 and 2247 may receiveinformation from the implantable device 100 and/or diagnostic equipment2150. The metric analysis system 2241 optionally includes control logicto associate information and to make one or more conclusions based on ametric or metrics (e.g., consider the block 430 of FIG. 4).

Where information is received from the implanted device 100, a telemetrywand 2228 may be used. Other forms of wireless communication exist aswell as forms of communication where the body is used as a “wire” tocommunicate information from the implantable device 100 to theprogrammer 2000.

If information is received directly from diagnostic equipment 2150, anyappropriate input may be used, such as parallel 10 circuit 2240 orserial 10 circuit 2242. Motion information received via the device 100or via other diagnostic equipment 2150 may be analyzed using the mappingsystem 2247. In particular, the mapping system 2247 (e.g., controllogic) may identify positions within the body of a patient and associatesuch positions with one or more electrodes where such electrodes may becapable of delivering stimulation energy to the heart.

A communication interface 2245 optionally allows for wired or wirelesscommunication with diagnostic equipment 2150 or other equipment. Thecommunication interface 2245 may be a network interface connected to anetwork (e.g., intranet, Internet, etc.).

A map or model of cardiac motion may be displayed using display 2114based, in part, on 3-D heart information and optionally 3-D torsoinformation that facilitates interpretation of motion information. Such3-D information may be input via ports 2240, 2242, 2245 from, forexample, a database, a 3-D imaging system, a 3-D location digitizingapparatus (e.g., stereotactic localization system with sensors and/orprobes) capable of digitizing the 3-D location. According to such anexample, a clinician can thereby view the stability of a location on amap of the heart to ensure that the location is acceptable before anelectrode or electrodes are positioned and optionally fixed at thatlocation. While 3-D information and localization are mentioned,information may be provided with fewer dimensions (e.g., 1-D or 2-D).For example, where motion in one dimension is insignificant to one ormore other dimensions, then fewer dimensions may be used, which cansimplify procedures and reduce computing requirements of a programmer,an implantable device, etc. The programmer 2000 optionally recordsprocedures and allows for playback (e.g., for subsequent review). Forexample, a heart map and all of the electrical activation data,mechanical activation data, parameter data, etc., may be recorded forsubsequent review, perhaps if an electrode needs to be repositioned orone or more other factors need to be changed (e.g., to achieve anoptimal configuration). Electrodes may be lead based or non-lead based,for example, an implantable device may operate as an electrode and beself powered and controlled or be in a slave-master relationship withanother implantable device (e.g., consider a satellite pacemaker, etc.).An implantable device may use one or more epicardial electrodes.

Once all pacing leads are mounted and all pacing devices are implanted(e.g., master pacemaker, satellite pacemaker, biventricular pacemaker),the various devices are optionally further programmed.

The telemetry subsystem 2222 may include its own separate CPU 2224 forcoordinating the operations of the telemetry subsystem. In a dual CPUsystem, the main CPU 2202 of programmer communicates with telemetrysubsystem CPU 2224 via internal bus 2204. Telemetry subsystemadditionally includes a telemetry circuit 2226 connected to telemetrywand 2228, which, in turn, receives and transmits signalselectromagnetically from a telemetry unit of the implanted device. Thetelemetry wand is placed over the chest of the patient near theimplanted device 100 to permit reliable transmission of data between thetelemetry wand and the implanted device.

Typically, at the beginning of the programming session, the externalprogramming device 2000 controls the implanted device(s) 100 viaappropriate signals generated by the telemetry wand to output allpreviously recorded patient and device diagnostic information. Patientdiagnostic information may include, for example, motion information(e.g., cardiac, respiratory, etc.) recorded IEGM data and statisticalpatient data such as the percentage of paced versus sensed heartbeats.Device diagnostic data includes, for example, information representativeof the operation of the implanted device such as lead impedances,battery voltages, battery recommended replacement time (RRT) informationand the like.

Data retrieved from the implanted device(s) 100 can be stored byexternal programmer 2000 (e.g., within a random access memory (RAM)2230, hard drive 2208, within a floppy diskette placed within floppydrive 2210). Additionally, or in the alternative, data may bepermanently or semi-permanently stored within a compact disk (CD) orother digital media disk, if the overall system is configured with adrive for recording data onto digital media disks, such as a write onceread many (WORM) drive. Where the programmer 2000 has a communicationlink to an external storage device or network storage device, theninformation may be stored in such a manner (e.g., on-site database,off-site database, etc.). The programmer 2000 optionally receives datafrom such storage devices.

A typical procedure may include transferring all patient and devicediagnostic data stored in an implanted device 100 to the programmer2000. The implanted device(s) 100 may be further controlled to transmitadditional data in real time as it is detected by the implanteddevice(s) 100, such as additional motion information, IEGM data, leadimpedance data, and the like. Additionally, or in the alternative,telemetry subsystem 2222 receives ECG signals from ECG leads 2232 via anECG processing circuit 2234. As with data retrieved from the implanteddevice 100, signals received from the ECG leads are stored within one ormore of the storage devices of the programmer 2000. Typically, ECG leadsoutput analog electrical signals representative of the ECG. Accordingly,ECG circuit 2234 includes analog to digital conversion circuitry forconverting the signals to digital data appropriate for furtherprocessing within programmer 2000. Depending upon the implementation,the ECG circuit 2243 may be configured to convert the analog signalsinto event record data for ease of processing along with the eventrecord data retrieved from the implanted device. Typically, signalsreceived from the ECG leads 2232 are received and processed in realtime.

Thus, the programmer 2000 is configured to receive data from a varietyof sources such as, but not limited to, the implanted device 100, thediagnostic equipment 2150 and directly or indirectly via external ECGleads (e.g., subsystem 2222 or external ECG system). The diagnosticequipment 2150 includes wired 2154 and/or wireless capabilities 2152which optionally operate via a network that includes the programmer 2000and the diagnostic equipment 2150 or data storage associated with thediagnostic equipment 2150.

Data retrieved from the implanted device(s) 100 typically includesparameters representative of the current programming state of theimplanted devices. Under the control of the clinician, the externalprogrammer displays the current programming parameters and permits theclinician to reprogram the parameters. To this end, the clinician entersappropriate commands via any of the aforementioned input devices and,under control of CPU 2202, the programming commands are converted tospecific programming parameters for transmission to the implanted device100 via telemetry wand 2228 to thereby reprogram the implanted device100 or other devices, as appropriate.

Prior to reprogramming specific parameters, the clinician may controlthe external programmer 2000 to display any or all of the data retrievedfrom the implanted device 100, from the ECG leads 2232, includingdisplays of ECGs, IEGMs, statistical patient information (e.g., via adatabase or other source), diagnostic equipment 2150, etc. Any or all ofthe information displayed by programmer may also be printed using aprinter 2236.

A wide variety of parameters may be programmed by a clinician. Inparticular, for CRT, the AV delay and the VV delay of the implanteddevice(s) 100 are set to optimize cardiac function. In one example, theVV delay is first set to zero while the AV delay is adjusted to achievethe best possible cardiac function, optionally based on motioninformation. Then, VV delay may be adjusted to achieve still furtherenhancements in cardiac function.

Programmer 2000 optionally includes a modem to permit directtransmission of data to other programmers via the public switchedtelephone network (PSTN) or other interconnection line, such as a T1line or fiber optic cable. Depending upon the implementation, the modemmay be connected directly to internal bus 2204 may be connected to theinternal bus via either a parallel port 2240 or a serial port 2242.

Other peripheral devices may be connected to the external programmer viathe parallel port 2240, the serial port 2242, the communicationinterface 2245, etc. Although one of each is shown, a plurality of inputoutput (IO) ports might be provided. A speaker 2244 is included forproviding audible tones to the user, such as a warning beep in the eventimproper input is provided by the clinician. Telemetry subsystem 2222additionally includes an analog output circuit 2246 for controlling thetransmission of analog output signals, such as IEGM signals output to anECG machine or chart recorder.

With the programmer 2000 configured as shown, a clinician or other useroperating the external programmer is capable of retrieving, processingand displaying a wide range of information received from the ECG leads2232, from the implanted device 100, the diagnostic equipment 2150,etc., and to reprogram the implanted device 100 or other implanteddevices if needed. The descriptions provided herein with respect to FIG.20 are intended merely to provide an overview of the operation ofprogrammer and are not intended to describe in detail every feature ofthe hardware and software of the device and is not intended to providean exhaustive list of the functions performed by the device.

CONCLUSION

Although exemplary methods, devices, systems, etc., have been describedin language specific to structural features and/or methodological acts,it is to be understood that the subject matter defined in the appendedclaims is not necessarily limited to the specific features or actsdescribed. Rather, the specific features and acts are disclosed asexemplary forms of implementing the claimed methods, devices, systems,etc.

What is claimed is:
 1. A method comprising: selecting, through a userinterface, a pair of electrodes located in a patient; establishing anelectrical localization field in the patient; acquiring, using aprocessor, position information during one or more cardiac cycles forthe pair of electrodes wherein the acquiring comprises using each of theelectrodes for measuring one or more electrical potentials in theelectrical localization field established in the patient; calculating,using a processor, one or more vector metrics based on the acquiredposition information for a vector defined by the pair of electrodes;analyzing, using a processor, the one or more vector metrics todetermine a measure indicative of cardiac performance during the one ormore cardiac cycles; presenting, through a user interface, an indicationof the measure; and modifying at least one parameter of a cardiactherapy in response to the one or more vector metrics; wherein the oneor more vector metrics comprise angular acceleration of a vector.
 2. Amethod comprising: selecting, through a user interface, a pair ofelectrodes located in a patient; establishing an electrical localizationfield in the patient; acquiring, using a processor, position informationduring one or more cardiac cycles for the pair of electrodes wherein theacquiring comprises using each of the electrodes for measuring one ormore electrical potentials in the electrical localization fieldestablished in the patient; calculating, using a processor, one or morevector metrics based on the acquired position information for a vectordefined by the pair of electrodes; analyzing, using a processor, the oneor more vector metrics to determine a measure indicative of cardiacperformance during the one or more cardiac cycles; and presenting,through a user interface, an indication of the measure; wherein the oneor more vector metrics comprises a slope of a vector length with respectto time wherein the slope provides an indication of cardiaccontractility.
 3. A method comprising: selecting, through a userinterface, a pair of electrodes located in a patient; establishing anelectrical localization field in the patient; acquiring, using aprocessor, position information during one or more cardiac cycles forthe pair of electrodes wherein the acquiring comprises using each of theelectrodes for measuring one or more electrical potentials in theelectrical localization field established in the patient; calculating,using a processor, one or more vector metrics based on the acquiredposition information for a vector defined by the pair of electrodes;analyzing, using a processor, the one or more vector metrics todetermine a measure indicative of cardiac performance during the one ormore cardiac cycles; presenting, through a user interface, an indicationof the measure; and selecting, through a user interface, a thirdelectrode and defining a triangle based on the three electrodes; whereinthe third electrode comprises an electrode located in the right atrium.4. A method comprising: positioning a first electrode in a patient at anRV cardiac location; positioning a second electrode in the patient at anLV cardiac location, wherein the first electrode moves relative to thesecond electrode during cardiac cycles of the patient; establishing anelectrical localization field in the patient; acquiring, using aprocessor, position information during one or more cardiac cycles forthe first and second electrodes, wherein the acquiring comprises usingeach of the first and second electrodes for measuring one or moreelectrical potentials in the electrical localization field establishedin the patient; calculating, using a processor, a set of vectors basedon the acquired position information defined by the first and secondelectrodes, wherein the set of vectors represents movement of the firstelectrode relative to the second electrode over at least a portion ofone or more cardiac cycles; analyzing, using a processor, the set ofvectors to determine a measure indicative of cardiac performance duringthe one or more cardiac cycles; and presenting, through a userinterface, an indication of the measure; wherein the analyzingcomprises: generating a first time domain representation of vector anglefor respective vectors in the set of vectors; generating a second timedomain representation of vector magnitude for respective vectors in theset of vectors; comparing timing of maximum and minimum values in thefirst and second time domain representations.
 5. The method of claim 4wherein the first electrode is positioned within a right ventricularapex of the patient.
 6. The method of claim 4 wherein the secondelectrode is positioned within a vein of a lateral wall of the leftventricle of the patient.
 7. The method of claim 4 further comprising:modifying at least one cardiac therapy parameter in response to theindication of the measure.
 8. The method of claim 4 further comprising:modifying at least one pacing electrode location in response to theindication of the measure.
 9. The method of claim 4 wherein the firstand second electrodes are disposed on leads associated with animplantable device configured to deliver a cardiac therapy to thepatient.
 10. The method of claim 4 wherein the first and secondelectrodes are electrodes of one or more catheters associated with anexternal device configured to sense electrical potentials in anelectrical localization field established in the patient.
 11. The methodof claim 4 further comprising: identifying diastolic function based onthe set of vectors.
 12. The method of claim 4 further comprising:identifying systolic function based on the set of vectors.